kin-zhang commited on
Commit
fe1aa24
β€’
1 Parent(s): ac6ce84

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +51 -1
README.md CHANGED
@@ -2,4 +2,54 @@
2
  license: bsd-3-clause
3
  language:
4
  - en
5
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  license: bsd-3-clause
3
  language:
4
  - en
5
+ ---
6
+ # Scene Flow Models for Autonomous Driving Dataset
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+ Please check the usage on [KTH-RPL/DeFlow](https://github.com/KTH-RPL/DeFlow) or [KTH-RPL/SeFlow](https://github.com/KTH-RPL/SeFlow).
11
+
12
+ - [DeFlow](https://github.com/KTH-RPL/DeFlow): Supervised learning scene flow, model included is trained on Argoverse 2
13
+ - [SeFlow](https://github.com/KTH-RPL/SeFlow): **Self-Supervised** learning scene flow, model included is trained on Argoverse 2. Paper also reported Waymo result, the weight cannot be shared according to [Waymo Term](https://waymo.com/open/terms/). More detail discussion [issue 8](https://github.com/KTH-RPL/SeFlow/issues/8#issuecomment-2464224813).
14
+
15
+ DeFlow Result Video Preview:
16
+ https://github.com/KTH-RPL/DeFlow/assets/35365764/9b265d56-06a9-4300-899c-96047a0da505
17
+
18
+ <details> <summary>🎁 <b>One repository, All methods!</b> </summary>
19
+ <!-- <br> -->
20
+ You can try following methods in our code without any effort to make your own benchmark.
21
+
22
+ - [x] [SeFlow](https://arxiv.org/abs/2407.01702) (Ours πŸš€): ECCV 2024
23
+ - [x] [DeFlow](https://arxiv.org/abs/2401.16122) (Ours πŸš€): ICRA 2024
24
+ - [x] [FastFlow3d](https://arxiv.org/abs/2103.01306): RA-L 2021
25
+ - [x] [ZeroFlow](https://arxiv.org/abs/2305.10424): ICLR 2024, their pre-trained weight can covert into our format easily through [the script](tools/zerof2ours.py).
26
+ - [ ] [NSFP](https://arxiv.org/abs/2111.01253): NeurIPS 2021, faster 3x than original version because of [our CUDA speed up](assets/cuda/README.md), same (slightly better) performance. Done coding, public after review.
27
+ - [ ] [FastNSF](https://arxiv.org/abs/2304.09121): ICCV 2023. Done coding, public after review.
28
+ <!-- - [ ] [Flow4D](https://arxiv.org/abs/2407.07995): 1st supervise network in the new leaderboard. Done coding, public after review. -->
29
+ - [ ] ... more on the way
30
+
31
+ </details>
32
+
33
+ ## Citation
34
+
35
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
36
+
37
+ ```
38
+ @inproceedings{zhang2024deflow,
39
+ author={Zhang, Qingwen and Yang, Yi and Fang, Heng and Geng, Ruoyu and Jensfelt, Patric},
40
+ booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA)},
41
+ title={{DeFlow}: Decoder of Scene Flow Network in Autonomous Driving},
42
+ year={2024},
43
+ pages={2105-2111},
44
+ doi={10.1109/ICRA57147.2024.10610278}
45
+ }
46
+ @inproceedings{zhang2024seflow,
47
+ author={Zhang, Qingwen and Yang, Yi and Li, Peizheng and Andersson, Olov and Jensfelt, Patric},
48
+ title={{SeFlow}: A Self-Supervised Scene Flow Method in Autonomous Driving},
49
+ booktitle={European Conference on Computer Vision (ECCV)},
50
+ year={2024},
51
+ pages={353–369},
52
+ organization={Springer},
53
+ doi={10.1007/978-3-031-73232-4_20},
54
+ }
55
+ ```