awesome-online-action-detection
github.com/wangxiang1230/awesome-online-action-detection ↗Awesome Online Action Detection
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 2022 resources from awesome-online-action-detection"
Installation instructions →What's inside
2022
- A Circular Window-based Cascade Transformer for Online Action Detection
Shuqiang Cao et al,
- Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
Le Yang et al,
- Continual Transformers: Redundancy-Free Attention for Online Inference
Lukas Hedegaard et al,
- GateHUB: Gated History Unit with Background Suppression for Online Action Detection
Junwen Chen et al,
- Progressive Privileged Knowledge Distillation for Online Action Detection
Peisen Zhao et al,
- Real-time Online Video Detection with Temporal Smoothing Transformers
Yue Zhao et al,
2024
- ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos
Hyolim Kang et al,
- Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?
Qingsong Zhao et al,
- HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization
Sakib Reza et al,
- JOADAA: joint online action detection and action anticipation
Mohammed Guermal et al,
- MALT: Multi-scale Action Learning Transformer for Online Action Detection
Zhipeng Yang et al,
- Object Aware Egocentric Online Action Detection
Joungbin An et al,
2021
- An empirical study on temporal modeling for online action detection
Wen Wang et al,
- Exploring Temporal Context and Human Movement Dynamics for Online Action Detection in Videos
Vasiliki I. Vasileiou et al,
- Information Elevation Network for Fast Online Action Detection
Sunah Min et al,
- Learning to Discriminate Information for Online Action Detection: Analysis and Application
Sumin Lee et al,
- Long Short-Term Transformer for Online Action Detection
Mingze Xu et al,
- OadTR: Online Action Detection with Transformers
Xiang Wang et al,
2023
- DFAformer: A Dual Filtering Auxiliary Transformer for Efficient Online Action Detection in Streaming Videos
Shicheng Jing et al,
- E2E-LOAD: End-to-End Long-form Online Action Detection
Shuqiang Cao et al,
- HCM: Online Action Detection With Hard Video Clip Mining
Siyu Liu et al,
- Memory-and-Anticipation Transformer for Online Action Understanding
Jiahao Wang et al,
- MiniROAD: Minimal RNN Framework for Online Action Detection
Joungbin An et al,
- Online Action Detection with Learning Future Representations by Contrastive Learning
Haitao Leng et al,
2020
- Learning to Discriminate Information for Online Action Detection
Hyunjun Eun et al,
- Online Action Detection in Streaming Videos with Time Buffers
Bowen Zhan et al,
- Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol
Marcos Baptista Rios et al,
2018
- Modeling temporal structure with LSTM for online action detection
Roeland De Geest et al,
- Online Detection of Action Start in Untrimmed, Streaming Video
Zheng Shou et al,
- Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning
Vasili Ramanishka et al,
2016
- Online Action Detection
Roeland De Geest et al,
Survey
- Online human action detection and anticipation in videos: A survey
Xuejiao Hu et al,
Showing a sample of 43 resources. View the full list on GitHub →