SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Model summaries (continued from previous page)
No	Model ID	Source	Arch	Dataset
77.	cs3darknet-focus_l.c2ns_in1k	timm	cnn	ImageNet-1k
78.	cs3darknet-focus_m.c2ns_in1k	timm	cnn	ImageNet-1k
79.	cs3darknet_l.c2ns_in1k	timm	cnn	ImageNet-1k
80.	cs3darknet_m.c2ns_in1k	timm	cnn	ImageNet-1k
81.	cs3darknet_x.c2ns_in1k	timm	cnn	ImageNet-1k
82.	cs3sedarknet_l.c2ns_in1k	timm	cnn	ImageNet-1k
83.	cs3sedarknet_x.c2ns_in1k	timm	cnn	ImageNet-1k
84.	cspdarknet53.ra_in1k	timm	cnn	ImageNet-1k
85.	cspresnet50.ra_in1k	timm	cnn	ImageNet-1k
86.	cspresnet50.ra_in1k	timm	cnn	ImageNet-1k
87.	darknet53.c2ns_in1k	timm	cnn	ImageNet-1k
88.	darknetaa53.c2ns_in1k	timm	cnn	ImageNet-1k
89.	densenet121	torch	cnn	ImageNet-1k
90.	densenet121.ra_in1k	timm	cnn	ImageNet-1k
91.	densenet161	torch	cnn	ImageNet-1k
92.	densenet169	torch	cnn	ImageNet-1k
93.	densenet201	torch	cnn	ImageNet-1k
94.	densenetblur121d.ra_in1k	timm	cnn	ImageNet-1k
95.	dla102.in1k	timm	cnn	ImageNet-1k
96.	dla102x.in1k	timm	cnn	ImageNet-1k
97.	dla102x2.in1k	timm	cnn	ImageNet-1k
98.	dla169.in1k	timm	cnn	ImageNet-1k
99.	dla34.in1k	timm	cnn	ImageNet-1k
100.	dla46_c.in1k	timm	cnn	ImageNet-1k
101.	dla46x_c.in1k	timm	cnn	ImageNet-1k
102.	dla60.in1k	timm	cnn	ImageNet-1k
103.	dla60_res2net.in1k	timm	cnn	ImageNet-1k
104.	dla60_res2next.in1k	timm	cnn	ImageNet-1k
105.	dla60x.in1k	timm	cnn	ImageNet-1k
106.	dla60x_c.in1k	timm	cnn	ImageNet-1k
107.	dm_nfnet_f0.dm_in1k	timm	cnn	ImageNet-1k
108.	dm_nfnet_f1.dm_in1k	timm	cnn	ImageNet-1k
109.	dm_nfnet_f2.dm_in1k	timm	cnn	ImageNet-1k
110.	dm_nfnet_f3.dm_in1k	timm	cnn	ImageNet-1k
111.	dm_nfnet_f4.dm_in1k	timm	cnn	ImageNet-1k
112.	dm_nfnet_f5.dm_in1k	timm	cnn	ImageNet-1k
113.	dm_nfnet_f6.dm_in1k	timm	cnn	ImageNet-1k
114.	dpn107.mx_in1k	timm	cnn	ImageNet-1k
115.	dpn131.mx_in1k	timm	cnn	ImageNet-1k
116.	dpn68.mx_in1k	timm	cnn	ImageNet-1k
117.	dpn68b.mx_in1k	timm	cnn	ImageNet-1k
118.	dpn68b.ra_in1k	timm	cnn	ImageNet-1k
119.	dpn92.mx_in1k	timm	cnn	ImageNet-1k
120.	dpn98.mx_in1k	timm	cnn	ImageNet-1k
121.	eca_halongext26ts.c1_in1k	timm	cnn	ImageNet-1k
122.	eca_nfnet_l0.ra2_in1k	timm	cnn	ImageNet-1k
123.	eca_nfnet_l1.ra2_in1k	timm	cnn	ImageNet-1k
124.	eca_nfnet_l2.ra3_in1k	timm	cnn	ImageNet-1k
125.	eca_resnet33ts.ra2_in1k	timm	cnn	ImageNet-1k
126.	eca_resnext26ts.ch_in1k	timm	cnn	ImageNet-1k
127.	ecaresnet101d.mil_in1k	timm	cnn	ImageNet-1k
128.	ecaresnet101d_pruned.mil_in1k	timm	cnn	ImageNet-1k
129.	ecaresnet269d.ra2_in1k	timm	cnn	ImageNet-1k
130.	ecaresnet26t.ra2_in1k	timm	cnn	ImageNet-1k
131.	ecaresnet50d.mil_in1k	timm	cnn	ImageNet-1k
132.	ecaresnet50d_pruned.mil_in1k	timm	cnn	ImageNet-1k
133.	ecaresnet50t.a1_in1k	timm	cnn	ImageNet-1k
134.	ecaresnet50t.a2_in1k	timm	cnn	ImageNet-1k
135.	ecaresnet50t.a3_in1k	timm	cnn	ImageNet-1k
Model summaries (continued from previous page)
No	Model ID	Source	Arch	Dataset
136.	ecaresnet50t.ra2_in1k	timm	cnn	ImageNet-1k
137.	ecaresnetlight.miil_in1k	timm	cnn	ImageNet-1k
138.	efficientnet_b0.ra_in1k	timm	cnn	ImageNet-1k
139.	efficientnet_b1.ft_in1k	timm	cnn	ImageNet-1k
140.	efficientnet_b1_pruned.in1k	timm	cnn	ImageNet-1k
141.	efficientnet_b2.ra_in1k	timm	cnn	ImageNet-1k
142.	efficientnet_b2_pruned.in1k	timm	cnn	ImageNet-1k
143.	efficientnet_b3.ra2_in1k	timm	cnn	ImageNet-1k
144.	efficientnet_b3_pruned.in1k	timm	cnn	ImageNet-1k
145.	efficientnet_b4.ra2_in1k	timm	cnn	ImageNet-1k
146.	efficientnet_el.ra_in1k	timm	cnn	ImageNet-1k
147.	efficientnet_el_pruned.in1k	timm	cnn	ImageNet-1k
148.	efficientnet_em.ra2_in1k	timm	cnn	ImageNet-1k
149.	efficientnet(es.ra_in1k	timm	cnn	ImageNet-1k
150.	efficientnet(es_pruned.in1k	timm	cnn	ImageNet-1k
151.	efficientnet lite0.ra_in1k	timm	cnn	ImageNet-1k
152.	efficientnetv2_rw_m.agc_in1k	timm	cnn	ImageNet-1k
153.	efficientnetv2_rw_s.ra2_in1k	timm	cnn	ImageNet-1k
154.	efficientnetv2_rw_t.ra2_in1k	timm	cnn	ImageNet-1k
155.	fbnetc_100.rmsp_in1k	timm	cnn	ImageNet-1k
156.	fbnetv3_b.ra2_in1k	timm	cnn	ImageNet-1k
157.	fbnetv3_d.ra2_in1k	timm	cnn	ImageNet-1k
158.	fbnetv3_g.ra2_in1k	timm	cnn	ImageNet-1k
159.	focalnet_base_lrf.ms_in1k	timm	cnn	ImageNet-1k
160.	focalnet_base_srf.ms_in1k	timm	cnn	ImageNet-1k
161.	focalnet_small_lrf.ms_in1k	timm	cnn	ImageNet-1k
162.	focalnet_small_srf.ms_in1k	timm	cnn	ImageNet-1k
163.	focalnet_tiny_lrf.ms_in1k	timm	cnn	ImageNet-1k
164.	focalnet_tiny_srf.ms_in1k	timm	cnn	ImageNet-1k
165.	gc_efficientnetv2_rw_t.agc_in1k	timm	cnn	ImageNet-1k
166.	gcresnet33ts.ra2_in1k	timm	cnn	ImageNet-1k
167.	gcresnet50t.ra2_in1k	timm	cnn	ImageNet-1k
168.	gcresnext26ts.ch_in1k	timm	cnn	ImageNet-1k
169.	gcresnext50ts.ch_in1k	timm	cnn	ImageNet-1k
170.	googlenet	torch	cnn	ImageNet-1k
171.	halonet26t.alh_in1k	timm	cnn	ImageNet-1k
172.	halonet50ts.alh_in1k	timm	cnn	ImageNet-1k
173.	hardcorenas_a.mil綠_in1k	timm	cnn	ImageNet-1k
174.	hardcorenas_b.mil綠_in1k	timm	cnn	ImageNet-1k
175.	hardcorenas_c.mil綠_in1k	timm	cnn	ImageNet-1k
176.	hardcorenas_d.mil綠_in1k	timm	cnn	ImageNet-1k
177.	hardcorenas_e.mil綠_in1k	timm	cnn	ImageNet-1k
178.	hardcorenas_f.mil綠_in1k	timm	cnn	ImageNet-1k
179.	hrnet_w18.ms AUG_in1k	timm	cnn	ImageNet-1k
180.	hrnet_w18.ms_in1k	timm	cnn	ImageNet-1k
181.	hrnet_w18_small.ms_in1k	timm	cnn	ImageNet-1k
182.	hrnet_w18_small_v2.ms_in1k	timm	cnn	ImageNet-1k
183.	hrnet_w18_ssld.paddle_in1k	timm	cnn	ImageNet-1k
184.	hrnet_w30.ms_in1k	timm	cnn	ImageNet-1k
185.	hrnet_w32.ms_in1k	timm	cnn	ImageNet-1k
186.	hrnet_w40.ms_in1k	timm	cnn	ImageNet-1k
187.	hrnet_w44.ms_in1k	timm	cnn	ImageNet-1k
188.	hrnet_w48.ms_in1k	timm	cnn	ImageNet-1k
189.	hrnet_w48_ssld.paddle_in1k	timm	cnn	ImageNet-1k
190.	hrnet_w64.ms_in1k	timm	cnn	ImageNet-1k
191.	inception_resnet_v2=tf_ens_adv_in1k	timm	cnn	ImageNet-1k
192.	inception_resnet_v2=tf_in1k	timm	cnn	ImageNet-1k
193.	inception_v3	torch	cnn	ImageNet-1k
194.	inception_v3.gluon_in1k	timm	cnn	ImageNet-1k
Model summaries (continued from previous page)
No	Model ID	Source	Arch	Dataset
195.	inception_v3=tf_adv_in1k	timm	cnn	ImageNet-1k
196.	inception_v3=tf_in1k	timm	cnn	ImageNet-1k
197.	inception_v4=tf_in1k	timm	cnn	ImageNet-1k
198.	lambda_resnet26rpt_256.c1_in1k	timm	cnn	ImageNet-1k
199.	lambda_resnet26t_c1_in1k	timm	cnn	ImageNet-1k
200.	lambda_resnet50ts.a1h_in1k	timm	cnn	ImageNet-1k
201.	lcnet_050.ra2_in1k	timm	cnn	ImageNet-1k
202.	lcnet_075.ra2_in1k	timm	cnn	ImageNet-1k
203.	lcnet_100.ra2_in1k	timm	cnn	ImageNet-1k
204.	mixnet_1.ft_in1k	timm	cnn	ImageNet-1k
205.	mixnet_m.ft_in1k	timm	cnn	ImageNet-1k
206.	mixnet_s.ft_in1k	timm	cnn	ImageNet-1k
207.	mixnet_x1.ra_in1k	timm	cnn	ImageNet-1k
208.	mnasnet0_5	torch	cnn	ImageNet-1k
209.	mnasnet0_75	torch	cnn	ImageNet-1k
210.	mnasnet1_0	torch	cnn	ImageNet-1k
211.	mnasnet1_3	torch	cnn	ImageNet-1k
212.	mnasnet_100.rmsp_in1k	timm	cnn	ImageNet-1k
213.	mnasnet_small.lamb_in1k	timm	cnn	ImageNet-1k
214.	mobilenet_v2	torch	cnn	ImageNet-1k
215.	mobilenet_v3_large	torch	cnn	ImageNet-1k
216.	mobilenet_v3_small	torch	cnn	ImageNet-1k
217.	mobilenetv2_050.lamb_in1k	timm	cnn	ImageNet-1k
218.	mobilenetv2_100.ra_in1k	timm	cnn	ImageNet-1k
219.	mobilenetv2_110d.ra_in1k	timm	cnn	ImageNet-1k
220.	mobilenetv2_120d.ra_in1k	timm	cnn	ImageNet-1k
221.	mobilenetv2_140.ra_in1k	timm	cnn	ImageNet-1k
222.	mobilenetv3_large_100.mil_in21k_ft_in1k	timm	cnn	ImageNet-21k
223.	mobilenetv3_large_100.ra_in1k	timm	cnn	ImageNet-1k
224.	mobilenetv3_rw.rmsp_in1k	timm	cnn	ImageNet-1k
225.	mobilenetv3_small_050.lamb_in1k	timm	cnn	ImageNet-1k
226.	mobilenetv3_small_075.lamb_in1k	timm	cnn	ImageNet-1k
227.	mobilenetv3_small_100.lamb_in1k	timm	cnn	ImageNet-1k
228.	nf_regnet_b1.ra2_in1k	timm	cnn	ImageNet-1k
229.	nf_resnet50.ra2_in1k	timm	cnn	ImageNet-1k
230.	nfnet_l0.ra2_in1k	timm	cnn	ImageNet-1k
231.	regnet_x_16gf	torch	cnn	ImageNet-1k
232.	regnet_x_1_6gf	torch	cnn	ImageNet-1k
233.	regnet_x_32gf	torch	cnn	ImageNet-1k
234.	regnet_x_3_2gf	torch	cnn	ImageNet-1k
235.	regnet_x_400mf	torch	cnn	ImageNet-1k
236.	regnet_x_800mf	torch	cnn	ImageNet-1k
237.	regnet_x_8gf	torch	cnn	ImageNet-1k
238.	regnet_y_128gfSWG	torch	cnn	Instagram
239.	regnet_y_16gf	torch	cnn	ImageNet-1k
240.	regnet_y_16gfSWG	torch	cnn	Instagram
241.	regnet_y_1_6gf	torch	cnn	ImageNet-1k
242.	regnet_y_32gf	torch	cnn	ImageNet-1k
243.	regnet_y_32gfSWG	torch	cnn	Instagram
244.	regnet_y_3_2gf	torch	cnn	ImageNet-1k
245.	regnet_y_400mf	torch	cnn	ImageNet-1k
246.	regnet_y_800mf	torch	cnn	ImageNet-1k
247.	regnet_y_8gf	torch	cnn	ImageNet-1k
248.	regnetv_040.ra3_in1k	timm	cnn	ImageNet-1k
249.	regnetv_064.ra3_in1k	timm	cnn	ImageNet-1k
250.	regnetx_002.pycls_in1k	timm	cnn	ImageNet-1k
251.	regnetx_004.pycls_in1k	timm	cnn	ImageNet-1k
252.	regnetx_006.pycls_in1k	timm	cnn	ImageNet-1k
253.	regnetx_008.pycls_in1k	timm	cnn	ImageNet-1k
10RandomInternetImages
Model summaries (continued from previous page)
No	Model ID	Source	Arch	Dataset
370.	resnet50.c2_in1k	timm	cnn	ImageNet-1k
371.	resnet50.d_in1k	timm	cnn	ImageNet-1k
372.	resnet50.gluon_in1k	timm	cnn	ImageNet-1k
373.	resnet50.ra_in1k	timm	cnn	ImageNet-1k
374.	resnet50.ram_in1k	timm	cnn	ImageNet-1k
375.	resnet50_gn.alh_in1k	timm	cnn	ImageNet-1k
376.	resnet50_SSL	torch	cnn	Flickr YFCC
377.	resnet50_swsl	torch	cnn	Instagram
378.	resnet50c.gluon_in1k	timm	cnn	ImageNet-1k
379.	resnet50d.a1_in1k	timm	cnn	ImageNet-1k
380.	resnet50d.a2_in1k	timm	cnn	ImageNet-1k
381.	resnet50d.a3_in1k	timm	cnn	ImageNet-1k
382.	resnet50d.gluon_in1k	timm	cnn	ImageNet-1k
383.	resnet50d.ra2_in1k	timm	cnn	ImageNet-1k
384.	resnet50s.gluon_in1k	timm	cnn	ImageNet-1k
385.	resnet51q.ra2_in1k	timm	cnn	ImageNet-1k
386.	resnet61q.ra2_in1k	timm	cnn	ImageNet-1k
387.	resnetaa50.alh_in1k	timm	cnn	ImageNet-1k
388.	resnetblur50.bt_in1k	timm	cnn	ImageNet-1k
389.	resnetrs101.tf_in1k	timm	cnn	ImageNet-1k
390.	resnetrs152.tf_in1k	timm	cnn	ImageNet-1k
391.	resnetrs200.tf_in1k	timm	cnn	ImageNet-1k
392.	resnetrs270.tf_in1k	timm	cnn	ImageNet-1k
393.	resnetrs350.tf_in1k	timm	cnn	ImageNet-1k
394.	resnetrs420.tf_in1k	timm	cnn	ImageNet-1k
395.	resnetrs50.tf_in1k	timm	cnn	ImageNet-1k
396.	resnetv2_101.alh_in1k	timm	cnn	ImageNet-1k
397.	resnetv2_101x1_bit.goog_in21k_ft_in1k	timm	cnn	ImageNet-21k
398.	resnetv2_101x3_bit.goog_in21k_ft_in1k	timm	cnn	ImageNet-21k
399.	resnetv2_152x2_bit.goog_in21k_ft_in1k	timm	cnn	ImageNet-21k
400.	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	timm	cnn	ImageNet-21k
401.	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	timm	cnn	ImageNet-21k
402.	resnetv2_152x4_bit.goog_in21k_ft_in1k	timm	cnn	ImageNet-21k
403.	resnetv2_50.alh_in1k	timm	cnn	ImageNet-1k
404.	resnetv2_50d_evos.ah_in1k	timm	cnn	ImageNet-1k
405.	resnetv2_50d_gn.ah_in1k	timm	cnn	ImageNet-1k
406.	resnetv2_50x1_bit.goog_distilled_in1k	timm	cnn	ImageNet-21k
407.	resnetv2_50x1_bit.goog_in21k_ft_in1k	timm	cnn	ImageNet-21k
408.	resnetv2_50x3_bit.goog_in21k_ft_in1k	timm	cnn	ImageNet-21k
409.	resnext101_32x16d_SSL	torch	cnn	Flickr YFCC
410.	resnext101_32x16d_swsl	torch	cnn	Instagram
411.	resnext101_32x16d_wsl	torch	cnn	Instagram
412.	resnext101_32x32d_wsl	torch	cnn	Instagram
413.	resnext101_32x48d_wsl	torch	cnn	Instagram
414.	resnext101_32x4d.gluon_in1k	timm	cnn	ImageNet-1k
415.	resnext101_32x4d_SSL	torch	cnn	Flickr YFCC
416.	resnext101_32x4d_swsl	torch	cnn	Instagram
417.	resnext101_32x8d	torch	cnn	ImageNet-1k
418.	resnext101_32x8d_SSL	torch	cnn	Flickr YFCC
419.	resnext101_32x8d_swsl	torch	cnn	Instagram
420.	resnext101_32x8d_wsl	torch	cnn	Instagram
421.	resnext101_64x4d	torch	cnn	ImageNet-1k
422.	resnext101_64x4d.c1_in1k	timm	cnn	ImageNet-1k
423.	resnext101_64x4d.gluon_in1k	timm	cnn	ImageNet-1k
424.	resnext26ts.ra2_in1k	timm	cnn	ImageNet-1k
425.	resnext50_32x4d	torch	cnn	ImageNet-1k
426.	resnext50_32x4d.a1_in1k	timm	cnn	ImageNet-1k
427.	resnext50_32x4d.a1h_in1k	timm	cnn	ImageNet-1k
428.	resnext50_32x4d.a2_in1k	timm	cnn	ImageNet-1k
Model summaries (continued from previous page)
No	Model ID	Source	Arch	Dataset
429.	resnext50_32x4d.a3_in1k	timm	cnn	ImageNet-1k
430.	resnext50_32x4d.gluon_in1k	timm	cnn	ImageNet-1k
431.	resnext50_32x4d.ra_in1k	timm	cnn	ImageNet-1k
432.	resnext50_32x4d_ssl	torch	cnn	Flickr YFCC
433.	resnext50_32x4d_swsl	torch	cnn	Instagram
434.	resnext50d_32x4d.bt_in1k	timm	cnn	ImageNet-1k
435.	rexnet_100.nav_in1k	timm	cnn	ImageNet-1k
436.	rexnet_130.nav_in1k	timm	cnn	ImageNet-1k
437.	rexnet_150.nav_in1k	timm	cnn	ImageNet-1k
438.	rexnet_200.nav_in1k	timm	cnn	ImageNet-1k
439.	rexnet_300.nav_in1k	timm	cnn	ImageNet-1k
440.	sehalonet33ts.ra2_in1k	timm	cnn	ImageNet-1k
441.	semnasnet_075.rmsp_in1k	timm	cnn	ImageNet-1k
442.	semnasnet_100.rmsp_in1k	timm	cnn	ImageNet-1k
443.	seresnet152d.ra2_in1k	timm	cnn	ImageNet-1k
444.	seresnet33ts.ra2_in1k	timm	cnn	ImageNet-1k
445.	seresnet50.a1_in1k	timm	cnn	ImageNet-1k
446.	seresnet50.a2_in1k	timm	cnn	ImageNet-1k
447.	seresnet50.a3_in1k	timm	cnn	ImageNet-1k
448.	seresnet50.ra2_in1k	timm	cnn	ImageNet-1k
449.	seresnext101_32x4d.gluon_in1k	timm	cnn	ImageNet-1k
450.	seresnext101_32x8d.ah_in1k	timm	cnn	ImageNet-1k
451.	seresnext101_64x4d.gluon_in1k	timm	cnn	ImageNet-1k
452.	seresnext101d_32x8d.ah_in1k	timm	cnn	ImageNet-1k
453.	seresnext26d_32x4d.bt_in1k	timm	cnn	ImageNet-1k
454.	seresnext26t_32x4d.bt_in1k	timm	cnn	ImageNet-1k
455.	seresnext26ts.ch_in1k	timm	cnn	ImageNet-1k
456.	seresnext50_32x4d.gluon_in1k	timm	cnn	ImageNet-1k
457.	seresnext50_32x4d.racm_in1k	timm	cnn	ImageNet-1k
458.	seresnextaa101d_32x8d.ah_in1k	timm	cnn	ImageNet-1k
459.	shufflenet_v2_x0_5	torch	cnn	ImageNet-1k
460.	shufflenet_v2_x1_0	torch	cnn	ImageNet-1k
461.	shufflenet_v2_x1_5	torch	cnn	ImageNet-1k
462.	shufflenet_v2_x2_0	torch	cnn	ImageNet-1k
463.	skresnet18.ra_in1k	timm	cnn	ImageNet-1k
464.	skresnet34.ra_in1k	timm	cnn	ImageNet-1k
465.	skresnext50_32x4d.ra_in1k	timm	cnn	ImageNet-1k
466.	squeezeonet1_0	torch	cnn	ImageNet-1k
467.	squeezeonet1_1	torch	cnn	ImageNet-1k
468.	tf_efficientnet_b0(aa_in1k	timm	cnn	ImageNet-1k
469.	tf_efficientnet_b0.ap_in1k	timm	cnn	ImageNet-1k
470.	tf_efficientnet_b0.in1k	timm	cnn	ImageNet-1k
471.	tf_efficientnet_b0.ns_jft_in1k	timm	cnn	JFT
472.	tf_efficientnet_b1(aa_in1k	timm	cnn	ImageNet-1k
473.	tf_efficientnet_b1.ap_in1k	timm	cnn	ImageNet-1k
474.	tf_efficientnet_b1.in1k	timm	cnn	ImageNet-1k
475.	tf_efficientnet_b1.ns_jft_in1k	timm	cnn	JFT
476.	tf_efficientnet_b2(aa_in1k	timm	cnn	ImageNet-1k
477.	tf_efficientnet_b2.ap_in1k	timm	cnn	ImageNet-1k
478.	tf_efficientnet_b2.in1k	timm	cnn	ImageNet-1k
479.	tf_efficientnet_b2.ns_jft_in1k	timm	cnn	JFT
480.	tf_efficientnet_b3(aa_in1k	timm	cnn	ImageNet-1k
481.	tf_efficientnet_b3.ap_in1k	timm	cnn	ImageNet-1k
482.	tf_efficientnet_b3.in1k	timm	cnn	ImageNet-1k
483.	tf_efficientnet_b3.ns_jft_in1k	timm	cnn	JFT
484.	tf_efficientnet_b4(aa_in1k	timm	cnn	ImageNet-1k
485.	tf_efficientnet_b4.ap_in1k	timm	cnn	ImageNet-1k
486.	tf_efficientnet_b4.in1k	timm	cnn	ImageNet-1k
487.	tf_efficientnet_b4.ns_jft_in1k	timm	cnn	JFT
Model summaries (continued from previous page)
No	Model ID	Source	Arch	Dataset
488.	tf_efficientnet_b5(aa_in1k	timm	cnn	ImageNet-1k
489.	tf_efficientnet_b5.ap_in1k	timm	cnn	ImageNet-1k
490.	tf_efficientnet_b5.in1k	timm	cnn	ImageNet-1k
491.	tf_efficientnet_b5.ns_jft_in1k	timm	cnn	JFT
492.	tf_efficientnet_b5.ra_in1k	timm	cnn	ImageNet-1k
493.	tf_efficientnet_b6(aa_in1k	timm	cnn	ImageNet-1k
494.	tf_efficientnet_b6.ap_in1k	timm	cnn	ImageNet-1k
495.	tf_efficientnet_b6.ns_jft_in1k	timm	cnn	JFT
496.	tf_efficientnet_b7(aa_in1k	timm	cnn	ImageNet-1k
497.	tf_efficientnet_b7.ap_in1k	timm	cnn	ImageNet-1k
498.	tf_efficientnet_b7.ns_jft_in1k	timm	cnn	JFT
499.	tf_efficientnet_b7.ra_in1k	timm	cnn	ImageNet-1k
500.	tf_efficientnet_b8.ap_in1k	timm	cnn	ImageNet-1k
501.	tf_efficientnet_b8.ra_in1k	timm	cnn	ImageNet-1k
502.	tf_efficientnetCc_b0_4e_in1k	timm	cnn	ImageNet-1k
503.	tf_efficientnetCc_b0_8e_in1k	timm	cnn	ImageNet-1k
504.	tf_efficientnetCc_b1_8e_in1k	timm	cnn	ImageNet-1k
505.	tf_efficientnet_el_in1k	timm	cnn	ImageNet-1k
506.	tf_efficientnet_em_in1k	timm	cnn	ImageNet-1k
507.	tf_efficientnet(es_in1k	timm	cnn	ImageNet-1k
508.	tf_efficientnet_l2.ns_jft_in1k	timm	cnn	JFT
509.	tf_efficientnet_l2.ns_jft_in1k_475	timm	cnn	JFT
510.	tf_efficientnet lite0_in1k	timm	cnn	ImageNet-1k
511.	tf_efficientnet lite1.in1k	timm	cnn	ImageNet-1k
512.	tf_efficientnet lite2.in1k	timm	cnn	ImageNet-1k
513.	tf_efficientnet lite3.in1k	timm	cnn	ImageNet-1k
514.	tf_efficientnet lite4.in1k	timm	cnn	ImageNet-1k
515.	tf_efficientnetv2_b0.in1k	timm	cnn	ImageNet-1k
516.	tf_efficientnetv2_b1.in1k	timm	cnn	ImageNet-1k
517.	tf_efficientnetv2_b2.in1k	timm	cnn	ImageNet-1k
518.	tf_efficientnetv2_b3.in1k	timm	cnn	ImageNet-1k
519.	tf_efficientnetv2_b3.in21k_ft_in1k	timm	cnn	ImageNet-21k
520.	tf_efficientnetv2_l.in1k	timm	cnn	ImageNet-1k
521.	tf_efficientnetv2_l.in21k_ft_in1k	timm	cnn	ImageNet-21k
522.	tf_efficientnetv2_m.in1k	timm	cnn	ImageNet-1k
523.	tf_efficientnetv2_m.in21k_ft_in1k	timm	cnn	ImageNet-21k
524.	tf_efficientnetv2_s.in1k	timm	cnn	ImageNet-1k
525.	tf_efficientnetv2_s.in21k_ft_in1k	timm	cnn	ImageNet-21k
526.	tf_efficientnetv2_x1.in21k_ft_in1k	timm	cnn	ImageNet-21k
527.	tf_mixnet_l.in1k	timm	cnn	ImageNet-1k
528.	tf_mixnet_m.in1k	timm	cnn	ImageNet-1k
529.	tf_mixnet_s.in1k	timm	cnn	ImageNet-1k
530.	tf_mobilenetv3_large_075.in1k	timm	cnn	ImageNet-1k
531.	tf_mobilenetv3_large_100.in1k	timm	cnn	ImageNet-1k
532.	tf_mobilenetv3_large_minimal_100.in1k	timm	cnn	ImageNet-1k
533.	tf_mobilenetv3_small_075.in1k	timm	cnn	ImageNet-1k
534.	tf_mobilenetv3_small_100.in1k	timm	cnn	ImageNet-1k
535.	tf_mobilenetv3_small_minimal_100.in1k	timm	cnn	ImageNet-1k
536.	tinynet_a.in1k	timm	cnn	ImageNet-1k
537.	tinynet_b.in1k	timm	cnn	ImageNet-1k
538.	tinynet_c.in1k	timm	cnn	ImageNet-1k
539.	tinynet_d.in1k	timm	cnn	ImageNet-1k
540.	tinynet_e.in1k	timm	cnn	ImageNet-1k
541.	tresnet_l.mil_in1k	timm	cnn	ImageNet-1k
542.	tresnet_l.mil_in1k_448	timm	cnn	ImageNet-1k
543.	tresnet_m.mil_in1k	timm	cnn	ImageNet-1k
544.	tresnet_m.mil_in1k_448	timm	cnn	ImageNet-1k
545.	tresnet_m.mil_in21k_ft_in1k	timm	cnn	ImageNet-21k
546.	tresnet_v2_l.mil_in21k_ft_in1k	timm	cnn	ImageNet-21k
Model summaries (continued from previous page)
No	Model ID	Source	Arch	Dataset
547.	tresnet_x1.mii_in1k	timm	cnn	ImageNet-1k
548.	tresnet_x1.mii_in1k_448	timm	cnn	ImageNet-1k
549.	vgg11	torch	cnn	ImageNet-1k
550.	vgg11_bn	torch	cnn	ImageNet-1k
551.	vgg13	torch	cnn	ImageNet-1k
552.	vgg13_bn	torch	cnn	ImageNet-1k
553.	vgg16	torch	cnn	ImageNet-1k
554.	vgg16_bn	torch	cnn	ImageNet-1k
555.	vgg19	torch	cnn	ImageNet-1k
556.	vgg19_bn	torch	cnn	ImageNet-1k
557.	wide_resnet101_2	torch	cnn	ImageNet-1k
558.	wide_resnet50_2	torch	cnn	ImageNet-1k
559.	wide_resnet50_2.racm_in1k	timm	cnn	ImageNet-1k
560.	xception41.tf_in1k	timm	cnn	ImageNet-1k
561.	xception41p.ra3_in1k	timm	cnn	ImageNet-1k
562.	xception65.ra3_in1k	timm	cnn	ImageNet-1k
563.	xception65.tf_in1k	timm	cnn	ImageNet-1k
564.	xception65p.ra3_in1k	timm	cnn	ImageNet-1k
565.	xception71.tf_in1k	timm	cnn	ImageNet-1k
566.	caformer_b36.sail_in1k	timm	hybrid	ImageNet-1k
567.	caformer_b36.sail_in1k_384	timm	hybrid	ImageNet-1k
568.	caformer_b36.sail_in22k_ft_in1k	timm	hybrid	ImageNet-21k
569.	caformer_b36.sail_in22k_ft_in1k_384	timm	hybrid	ImageNet-21k
570.	caformer_m36.sail_in1k	timm	hybrid	ImageNet-1k
571.	caformer_m36.sail_in1k_384	timm	hybrid	ImageNet-1k
572.	caformer_m36.sail_in22k_ft_in1k	timm	hybrid	ImageNet-21k
573.	caformer_m36.sail_in22k_ft_in1k_384	timm	hybrid	ImageNet-21k
574.	caformer_s18.sail_in1k	timm	hybrid	ImageNet-1k
575.	caformer_s18.sail_in1k_384	timm	hybrid	ImageNet-1k
576.	caformer_s18.sail_in22k_ft_in1k	timm	hybrid	ImageNet-21k
577.	caformer_s18.sail_in22k_ft_in1k_384	timm	hybrid	ImageNet-21k
578.	caformer_s36.sail_in1k	timm	hybrid	ImageNet-1k
579.	caformer_s36.sail_in1k_384	timm	hybrid	ImageNet-1k
580.	caformer_s36.sail_in22k_ft_in1k	timm	hybrid	ImageNet-21k
581.	caformer_s36.sail_in22k_ft_in1k_384	timm	hybrid	ImageNet-21k
582.	coatnet_0_rw_224.sw_in1k	timm	hybrid	ImageNet-1k
583.	coatnet_1_rw_224.sw_in1k	timm	hybrid	ImageNet-1k
584.	coatnet_bn_0_rw_224.sw_in1k	timm	hybrid	ImageNet-1k
585.	coatnetnano RW_224.sw_in1k	timm	hybrid	ImageNet-1k
586.	coatnet_rmlp_1_rw_224.sw_in1k	timm	hybrid	ImageNet-1k
587.	coatnet_rmlp_2_rw_224.sw_in1k	timm	hybrid	ImageNet-1k
588.	coatnet_rmlpnanoRW_224.sw_in1k	timm	hybrid	ImageNet-1k
589.	coatnextnanoRW_224.sw_in1k	timm	hybrid	ImageNet-1k
590.	edgenext_base.in21k_ft_in1k	timm	hybrid	ImageNet-21k
591.	edgenext_base.usi_in1k	timm	hybrid	ImageNet-1k
592.	edgenext_small.usi_in1k	timm	hybrid	ImageNet-1k
593.	edgenext_small_rw.sw_in1k	timm	hybrid	ImageNet-1k
594.	edgenext_x_small.in1k	timm	hybrid	ImageNet-1k
595.	edgenext_xx_small.in1k	timm	hybrid	ImageNet-1k
596.	efficientformer_l1.snap_dist_in1k	timm	hybrid	ImageNet-1k
597.	efficientformer_l3.snap_dist_in1k	timm	hybrid	ImageNet-1k
598.	efficientformer_l7.snap_dist_in1k	timm	hybrid	ImageNet-1k
599.	efficientformerv2_1.snap_dist_in1k	timm	hybrid	ImageNet-1k
600.	efficientformerv2_s0.snap_dist_in1k	timm	hybrid	ImageNet-1k
601.	efficientformerv2_s1.snap_dist_in1k	timm	hybrid	ImageNet-1k
602.	efficientformerv2_s2.snap_dist_in1k	timm	hybrid	ImageNet-1k
603.	levit_128.fb_dist_in1k	timm	hybrid	ImageNet-1k
604.	levit_128s.fb_dist_in1k	timm	hybrid	ImageNet-1k
605.	levit_192.fb_dist_in1k	timm	hybrid	ImageNet-1k
Model summaries (continued from previous page)
No	Model ID	Source	Arch	Dataset
960.	xcit_tiny_24_p8_224.fb_dist_in1k	timm	vit	ImageNet-1k
961.	xcit_tiny_24_p8_224.fb_in1k	timm	vit	ImageNet-1k
962.	xcit_tiny_24_p8_384.fb_dist_in1k	timm	vit	ImageNet-1k
F.4 Fine-grained Superclasses
In this section, we detail the superclasses we use for detecting fine-grained and fine-grained OOV errors and their constituting IMAGENET classes. When defining these superclasses, we focused on visual and semantic similarity rather than positions in the WordNet hierarchy. We believe that the latter is fundamentally unsuitable to obtain high-quality groupings, as visually similar or closely related classes often end up having a large WordNet distance, while very different classes are close. Further, we ensured that superclass definitions are not overly generic, providing a much more fine-grained split than prior works. The superclasses are defined programmatically in our code and can be easily reused and adapted by others.
List of superclass definitions:
1. butterfly - 6 classes:
(n02276258, admiral) (n02277742, ringlet)
(n02279972, monarch) (n02280649, cabbage butterfly)
(n02281406, sulphur butterfly) (n02281787, lycaenid)
2. beetle_plus - 13 classes:
(n02165105, tiger beetle) (n02165456, ladybug)
(n02167151, ground beetle) (n02168699, long-horned beetle)
(n02169497, leaf beetle) (n02172182, dung beetle)
(n02174001, rhinoceros beetle) (n02177972, weevil)
(n02226429, grasshopper) (n02229544, cricket)
(n02233338, cockroach) (n02256656, cicada)
(n02259212, leafhopper)
3. insect rested - 13 classes:
(n02190166, fly) (n02206856, bee)
(n02219486, ant) (n02226429, grasshopper)
(n02229544, cricket) (n02231487, walking stick)
(n02233338, cockroach) (n02236044, mantis)
(n02256656, cicada) (n02259212, leafhopper)
(n02264363, lacewing) (n02268443, dragonfly)
(n02268853, damselfly)
4.isopod_trilobite_chiton-3 classes:
(n01768244, trilobite) (n01955084, chiton)
(n01990800, isopod)
5. crab_scorpion - 9 classes:
(n01770393, scorpion) (n01978287, Dungeness crab)
(n01978455, rock crab) (n01980166, fiddler crab)
(n01981276, king crab) (n01983481, American lobster)
(n01984695, spiny lobster) (n01985128, crayfish)
(n01986214, hermit crab)
6. spider - 8 classes:
(n01770081, harvestman) (n01773157, black and gold garden spider)
(n01773549, barn spider) (n01773797, garden spider)
(n01774384, black widow) (n01774750, tarantula)
(n01775062, wolf spider) (n01776313, tick)
7. marine_invertebrate - 7 classes:
(n01914609, sea anemone)
(n01950731, sea slug)
(n02319095, sea urchin)
(n12985857, coral fungus)
8. conch_chambered_nautilus - 2 classes:
(n01943899, conch)
9. invertebrate/rest - 7 classes:
(n01784675, centipede)
(n01930112, nematode)
(n01945685, slug)
(n02321529, sea cucumber)
10. salamander_lizard - 16 classes:
(n01629819, European fire salamander)
(n01631663, eft)
(n01632777, axolotl)
(n01677366, common iguana)
(n01685808, whiptail)
(n01688243, frilled lizard)
(n01692333, Gila monster)
(n01694178, African chameleon)
11. frog-3 classes:
(n01641577, bullfrog)
(n01644900,tailed frog)
12. shark_and_aquatic_mammal - 7 classes:
(n01484850, great white shark)
(n01494475, hammerhead)
(n02071294, killer whale)
(n02077923, sea lion)
13. ray-2 classes:
(n01496331, electric ray)
14. fish rested - 11 classes:
(n01440764, tench)
(n02514041, barracouta)
(n02536864, coho)
(n02607072, anemone fish)
(n02641379, gar)
(n02655020, puffer)
15. turtle - 5 classes:
(n01664965, loggerhead)
(n01667114, mud turtle)
(n01669191, box turtle)