MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation (TPAMI 2020)
-
Updated
Feb 26, 2023 - Python
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation (TPAMI 2020)
[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)
Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)
U-shape Deep Networks are Unified Backbones for Human Action Understanding from Wi-Fi Signals
Official Repo for CVPR 2024 Paper "FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Fully-Supervised Action Segmentation"
DLC2Action is an action segmentation package that makes running and tracking of machine learning experiments easy.
Official Implementation for "Fast Weakly Supervised Action Segmentation Using Mutual Consistency" - TPAMI 2021
The official implementation of Error Detection in Egocentric Procedural Task Videos
Official Repo for ICCV 2021 Paper "Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning".
Simple vispy-based frame-by-frame behavior annotation GUI. Also can display DeepLabCut poses within videos during annotation.
Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation
Deep learning approach to action segmentation in manufacturing assembly process.
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation (TPAMI 2020) - adapted for surgical tool usage and added attention
Add a description, image, and links to the action-segmentation topic page so that developers can more easily learn about it.
To associate your repository with the action-segmentation topic, visit your repo's landing page and select "manage topics."