| kenshohara/video-classification-3d-cnn-pytorch |
749 |
|
0 |
0 |
over 7 years ago |
0 |
|
33 |
mit |
Python |
| Video classification tools using 3D ResNet |
| okankop/Efficient-3DCNNs |
549 |
|
0 |
0 |
about 4 years ago |
0 |
|
13 |
mit |
Python |
| PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models. |
| HHTseng/video-classification |
498 |
|
0 |
0 |
over 5 years ago |
0 |
|
26 |
|
Jupyter Notebook |
| Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101 |
| v-iashin/video_features |
397 |
|
0 |
0 |
about 2 years ago |
0 |
|
20 |
mit |
Python |
| Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features. |
| Scalsol/mega.pytorch |
375 |
|
0 |
0 |
almost 5 years ago |
0 |
|
43 |
other |
Python |
| Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020 |
| amanchadha/iSeeBetter |
223 |
|
0 |
0 |
almost 5 years ago |
0 |
|
10 |
mit |
C++ |
| iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press |
| wanglimin/ARTNet |
191 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| Appearance-and-Relation Networks |
| MichiganCOG/ViP |
146 |
|
0 |
0 |
about 6 years ago |
0 |
|
15 |
mit |
Python |
| Video Platform for Action Recognition and Object Detection in Pytorch |
| jayleicn/TVRetrieval |
112 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit |
Python |
| [ECCV 2020] PyTorch code for XML on TVRetrieval dataset - TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval |
| woodfrog/ActionRecognition |
109 |
|
0 |
0 |
over 6 years ago |
0 |
|
7 |
mit |
Python |
| Explore Action Recognition |
