awesome-temporal-action-segmentation
github.com/nus-cvml/awesome-temporal-action-segmentation ↗A curated list of awesome temporal action segmentation resources.
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140
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Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me weakly-supervised resources from awesome-temporal-action-segmentation"
Installation instructions →What's inside
📝 Paper List
- 2by2: Weakly-Supervised Learning for Global Action SegmentationWeakly-Supervised
Elena Bueno-Benito and Mariella Dimiccoli
- ActFusion: a Unified Diffusion Model for Action Segmentation and AnticipationFully-Supervised
Dayoung Gong, Suha Kwak, and Minsu Cho
- Action Segmentation with Joint Self-Supervised Temporal Domain AdaptationUnsupervised
Min-Hung Chen … and Zsolt Kira
- Action Segmentation with Mixed Temporal Domain AdaptationFully-Supervised
Min-Hung Chen … and Ghassan Alregib
- Action Sets: Weakly Supervised Action Segmentation Without Ordering ConstraintsWeakly-Supervised
Alexander Richard, Hilde Kuehne, and Juergen Gall
- Action Shuffle Alternating Learning for Unsupervised Action SegmentationUnsupervised
Jun Li and Sinisa Todorovic
📖 Surveys & Overviews
Showing a sample of 140 resources. View the full list on GitHub →