| open-mmlab/mmaction2 |
4,904 |
|
0 |
1 |
over 1 year ago |
28 |
October 12, 2023 |
242 |
apache-2.0 |
Python |
| OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark |
| open-mmlab/mmaction |
1,415 |
|
0 |
0 |
over 5 years ago |
0 |
|
38 |
apache-2.0 |
Python |
| An open-source toolbox for action understanding based on PyTorch |
| MCG-NJU/VideoMAE |
864 |
|
0 |
0 |
almost 3 years ago |
0 |
|
21 |
other |
Python |
| [NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training |
| yjxiong/tsn-pytorch |
751 |
|
0 |
0 |
almost 7 years ago |
0 |
|
26 |
bsd-2-clause |
Python |
| Temporal Segment Networks (TSN) in PyTorch |
| MCG-NJU/TDN |
307 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| [CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition |
| v-iashin/SpecVQGAN |
262 |
|
0 |
0 |
almost 3 years ago |
0 |
|
6 |
mit |
Jupyter Notebook |
| Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021) |
| alibaba-mmai-research/TAdaConv |
177 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| [ICLR 2022] TAda! Temporally-Adaptive Convolutions for Video Understanding. This codebase provides solutions for video classification, video representation learning and temporal detection. |
| rlleshi/phar |
150 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| deep learning sex position classifier |
| fabienbaradel/object_level_visual_reasoning |
148 |
|
0 |
0 |
over 7 years ago |
0 |
|
4 |
|
Python |
| Pytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018 |
| cmhungsteve/SSTDA |
122 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Python |
| [CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch) |
