metadata
tags:
- grounding
- video
- understanding
- multimodal
- MAD
- long video
- moments
- moment retrieval
license: bsd
language:
- en
metrics:
- recall
Guidance Based Video Grounding.
The official implementation of the paper: "Localizing Moments in Long Video Via Multimodal Guidance". In this repository, we provide the predicted scores from the Guidance Model using MAD Dataset.
Citation
If you find this implementation useful in your research, please use the following BibTeX entry for citation:
@article{Barrios2023LocalizingMI,
title={Localizing Moments in Long Video Via Multimodal Guidance},
author={Wayner Barrios and Mattia Soldan and Fabian Caba Heilbron and Alberto M. Ceballos-Arroyo and Bernard Ghanem},
journal={ArXiv},
year={2023},
volume={abs/2302.13372}
}
Prediction Zoo.
The provided predictions correspond to the scores generated by the Guidance model using sliding windows of 64 frames and 128 frames in length. The predictions are stored in a pickle object with the following structure:
In [1]: import pickle
In [2]: with open("guidance_scores_MAD_test_128.pkl",'rb') as f:
...: scores = pickle.load(f)
In [3]: len(scores)
Out[3]: 72044
In [4]: scores[0].keys()
Out[4]: dict_keys(['qid', 'vid', 'windows', 'score'])
{ 'qid': '0',
'score': array([1.48404761e-05, 1.40372722e-05, 1.46572347e-05, 1.28814381e-05,
1.34291167e-05, 1.32850864e-05, 1.61252574e-05, 6.24697859e-05,
4.70118430e-05, 1.63803907e-05, 2.77301951e-05, 2.59740209e-05,
9.86061990e-01, 4.11081433e-01, 1.71889886e-02, 1.37453452e-01,
1.75393507e-05, 1.92647931e-05, 5.38236709e-05, 6.90551009e-04,
7.63237834e-01, 9.73204970e-02, 1.73201097e-05, 2.48163269e-05,
5.99260893e-05, 1.84824003e-05, 2.14560350e-05, 1.04043145e-04,
5.24206553e-05, 1.88337926e-05, 1.62523775e-05, 1.23760619e-05,
1.15747998e-05, 1.85713252e-05, 3.93810224e-05, 4.38277610e-04,
4.63226315e-05, 2.76185543e-04, 6.71112502e-05, 2.05889755e-05,
5.27229131e-05, 4.56629896e-05, 2.62997986e-04, 1.23860036e-05,
1.19574897e-05, 1.27713274e-05, 1.34036281e-05, 1.49246125e-05,
1.66437039e-05, 1.32685755e-05, 1.36442995e-05, 1.39407657e-05,
9.44265649e-02, 5.19266985e-02, 3.09179362e-04, 1.66565824e-05,
1.52278981e-05, 1.34415832e-05, 1.16731699e-05, 1.19617898e-05,
1.34421471e-05, 1.35606424e-05, 1.40685788e-05, 1.44712585e-05,
1.49164434e-05, 1.32006107e-05, 1.23232739e-05, 1.22480678e-05,
1.36934423e-05, 8.42598165e-05, 1.90059054e-05, 1.52820303e-05,
1.25335091e-05, 1.30556955e-05, 1.18760063e-05, 1.14885261e-05,
1.17362497e-05, 1.12321404e-05, 1.24243248e-04, 1.45946506e-05,
4.47804232e-05, 1.39249141e-05, 1.34848015e-05, 3.25621368e-05,
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1.28865731e-05, 8.20189889e-05, 1.94104978e-05, 1.45575204e-05,
1.19119395e-05, 1.17359577e-05, 1.33997301e-05, 1.31552797e-05,
1.29547625e-05, 1.46081702e-05, 1.37864763e-05, 2.89076870e-05,
2.40834688e-05, 2.44160365e-05, 3.74382762e-05, 4.72434871e-02,
1.53820711e-05, 1.25494762e-05, 1.16858791e-05, 1.33582507e-05,
6.86281201e-05, 1.72452001e-05, 1.32617952e-05, 1.24350836e-05,
1.32563446e-05, 1.50281312e-05, 2.07685662e-05, 3.12883203e-05,
5.31642836e-05, 7.05183193e-05, 1.51949525e-05, 1.41901855e-05,
1.51822069e-05, 3.32951342e-04, 8.94680124e-05, 1.65749607e-05,
2.18829446e-05, 2.16037024e-05, 1.89978218e-05, 4.97834710e-03,
2.03153506e-01, 1.54585496e-03, 1.23195614e-05, 1.28703259e-05,
1.51874347e-05, 1.30843009e-05, 1.32952518e-05, 1.83968314e-05,
3.42841486e-05, 9.24622072e-05, 1.33280428e-05, 1.38418063e-05,
1.52235261e-05, 1.41796754e-05, 1.46450093e-05, 2.20195379e-05,
1.83107302e-04, 1.82420099e-05, 1.50840988e-05, 1.33859876e-05,
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1.38433634e-05, 5.21887268e-05, 2.85502132e-02, 2.30753481e-01,
7.06195598e-04, 1.50714346e-04, 1.27303065e-03, 1.33986650e-02,
7.64285505e-04, 2.07327234e-04, 6.83149046e-05, 3.26294066e-05,
3.00217052e-05, 3.59058060e-04, 1.75943842e-05, 4.50351909e-05,
6.54372343e-05, 7.06970895e-05, 3.67312983e-04, 1.05719395e-01,
4.43235294e-05, 2.82063011e-05, 7.51458792e-05, 1.61291231e-04,
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3.02340268e-05, 5.52863061e-01, 4.90591303e-02, 5.52392844e-03,
1.66527767e-04, 6.01128559e-05, 2.75078182e-05, 5.36037696e-05,
2.72706511e-05, 5.20218709e-05, 1.74067172e-04, 9.59624112e-01,
9.92105484e-01, 6.41801059e-01, 7.50956178e-01, 1.66324535e-05,
1.36247700e-05, 1.38954510e-05, 1.32978639e-05, 2.76602568e-05,
8.64359558e-01, 2.82314628e-01, 6.86250278e-04, 1.61339794e-05,
1.76240802e-01, 6.14342950e-02, 1.79430062e-05, 1.85770459e-05,
2.49132900e-05, 4.90641105e-05, 1.38329369e-05, 1.35371911e-05,
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1.19547185e-05, 1.27106450e-05, 1.24800990e-05, 1.45651029e-05,
1.51306494e-05, 1.31757206e-05, 1.44625528e-05, 2.93072371e-05,
1.55961770e-05, 1.38226005e-05, 2.85501122e-01, 9.54893649e-01,
4.26807284e-01, 7.88133383e-01, 1.15605462e-05, 1.27675758e-05,
1.74503912e-05, 1.22338257e-04, 4.07951375e-05, 6.67655331e-05,
2.63322181e-05, 6.43799603e-01, 9.40359533e-01, 8.85976017e-01,
4.58170444e-01, 1.68637175e-03, 5.94505800e-05, 9.05500948e-01,
3.18567127e-01, 4.67336411e-03, 2.84927974e-05, 3.81192891e-03,
4.18508105e-04, 6.88799983e-03, 9.18629944e-01, 8.45510900e-01,
1.88187569e-01, 1.15205767e-02, 6.14926934e-01, 9.16110933e-01,
3.21912378e-01, 9.68408361e-02, 2.36877706e-03, 3.30457231e-04,
9.32341874e-01, 6.69624686e-01, 3.61131132e-02, 4.71764088e-01,
3.23702669e-04, 5.40765934e-04, 2.96235172e-04, 1.00755557e-01,
2.59187482e-02, 9.91479377e-04, 5.00017107e-02, 9.33302939e-03,
8.73835742e-01, 9.06303883e-01, 1.98892485e-02, 2.06603622e-03,
2.67300452e-03, 1.63171062e-05, 4.14947972e-05, 2.11949199e-02,
5.66720143e-02, 6.37245998e-02, 3.02139521e-01, 4.86139301e-03,
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9.85134244e-01, 9.36044097e-01, 1.42211165e-05, 1.49489415e-05,
1.69001578e-05, 1.66201044e-05, 2.41175085e-01, 5.41068694e-05,
1.77346919e-05, 3.90491296e-05, 2.48894852e-04, 1.45345357e-05,
1.64555768e-05, 1.53538731e-05, 1.38164451e-05, 1.68559291e-05,
3.19991705e-05, 2.60154466e-05, 1.41664159e-05, 1.22337908e-04,
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1.64901703e-05, 3.01825115e-04, 7.29017615e-01, 1.12410297e-03,
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4.10786743e-05, 2.57481169e-02, 8.77772836e-05, 4.92439649e-05,
9.44633852e-04, 2.61720526e-03, 8.41950595e-01, 8.63339067e-01,
5.76047751e-05, 8.71496499e-01, 9.07008648e-01, 8.54207218e-01,
3.62060557e-04, 7.98364286e-04, 7.50755966e-02, 3.81207588e-04,
6.62766863e-03, 1.50808028e-03, 5.67528963e-01, 7.69607246e-01,
4.62092081e-04, 1.82087897e-04, 9.24605787e-01, 9.67480242e-01,
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5.11704478e-04, 2.06177612e-03, 7.79069304e-01, 1.28432157e-05,
1.51723981e-01, 7.02154310e-03, 9.71324384e-01, 8.30839634e-01,
6.24295863e-05, 1.97836489e-05, 1.80826428e-05, 1.67380622e-05,
1.57646009e-05, 5.96713580e-05, 7.05929342e-05, 2.16401986e-05,
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1.57434170e-05, 3.38077080e-03, 1.93943546e-04, 1.50704973e-05,
1.36058252e-05, 1.23554828e-05, 1.20090635e-05, 1.20484674e-05,
1.15330831e-05, 1.24158278e-05, 1.21374187e-05, 1.20495934e-05,
1.25650204e-05, 1.16137307e-05, 1.18198168e-05, 1.15763123e-05,
1.24373146e-05, 1.25643137e-05, 1.48531772e-05, 1.28844113e-05,
1.19790957e-05, 1.42352001e-05, 2.61451223e-05, 1.16819347e-05],
dtype=float32),
'vid': '3001_21_JUMP_STREET',
'windows': array([[ 0, 128],
[ 64, 192],
[ 128, 256],
...,
[32576, 32704],
[32640, 32768],
[32704, 32832]])}