maxstrobel / HCN-PrototypeLoss-PyTorch
Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)
☆23Updated 5 years ago
Alternatives and similar repositories for HCN-PrototypeLoss-PyTorch:
Users that are interested in HCN-PrototypeLoss-PyTorch are comparing it to the libraries listed below
- 3D skeleton-based human action recognition using two stream CNNs☆12Updated 7 years ago
- This review contains some action recognition methods.☆57Updated 6 years ago
- implementation of the paper 'SlowFast Networks for Video Recognition ' with Pytorch☆27Updated 5 years ago
- part-aware lstm implemented in tensorflow used in skeleton-based action recognition with dataset NTU RGB+D.☆48Updated 5 years ago
- The code is for the CVPR 2019 paper 'Dance with Flow: Two-in-One Stream for Action Detection '☆31Updated 2 years ago
- LSTA: Long Short-Term Attention for Egocentric Action Recognition - CVPR 2019☆35Updated 5 years ago
- TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification".☆40Updated 6 years ago
- Pytorch implementation of StNet: Local and Global Spatial-Temporal Modeling for Action Recognition☆58Updated 5 years ago
- Rank-aware Attention Network from 'The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos'☆28Updated 3 years ago
- ICCV 19 Grouped Spatial-Temporal Aggretation for Efficient Action Recognition☆43Updated 5 years ago
- I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs☆145Updated 6 years ago
- Our implementation of Recurrent Pose Attention in Du et al.: "RPAN: An End-to-End Recurrent Pose-attention Network for Action Recognition…☆37Updated 6 years ago
- Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)☆64Updated 3 years ago
- ☆21Updated 6 years ago
- The Holistic Video Understanding Mini Dataset☆34Updated 4 years ago
- ☆28Updated 4 years ago
- Decoupling Localization and Classification in Single Shot Temporal Action Detection