目录
- 2020
C3D：Learning Spatiotemporal Features with 3D Convolutional Networks
论文：https://arxiv.org/abs/1412.0767
代码：https://github.com/facebook/C3D
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
论文：http://openaccess.thecvf.com/content_ICCV_2017/papers/Qiu_Learning_Spatio-Temporal_Representation_ICCV_2017_paper.pdf
代码：https://github.com/ZhaofanQiu/pseudo-3d-residual-networks#models
Two-Stream Convolutional Networks for Action Recognition in Videos
论文：https://arxiv.org/pdf/1406.2199.pdf
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
论文：https://arxiv.org/abs/1608.00859
代码：https://github.com/yjxiong/temporal-segment-networks#temporal-segment-networks-tsn
2020
CVPR2020
Oops! Predicting Unintentional Action in Video
主页：https://oops.cs.columbia.edu/
论文：https://arxiv.org/abs/1911.11206
代码：https://github.com/cvlab-columbia/oops
数据集：https://oops.cs.columbia.edu/data
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition
论文：https://arxiv.org/abs/1911.12409
代码：https://github.com/shlizee/Predict-Cluster
Intra- and Inter-Action Understanding via Temporal Action Parsing
论文：https://arxiv.org/abs/2005.10229
主页和数据集：https://sdolivia.github.io/TAPOS/
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
论文：https://arxiv.org/abs/2005.05501
代码：https://github.com/3huo/3DV-Action
FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
主页：https://sdolivia.github.io/FineGym/
论文：https://arxiv.org/abs/2004.06704
TEA: Temporal Excitation and Aggregation for Action Recognition
论文：https://arxiv.org/abs/2004.01398
代码：https://github.com/Phoenix1327/tea-action-recognition
X3D: Expanding Architectures for Efficient Video Recognition
论文：https://arxiv.org/abs/2004.04730
代码：https://github.com/facebookresearch/SlowFast
Temporal Pyramid Network for Action Recognition
主页：https://decisionforce.github.io/TPN
论文：https://arxiv.org/abs/2004.03548
代码：https://github.com/decisionforce/TPN
