The official implementation of Error Detection in Egocentric Procedural Task Videos
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Updated
Jul 11, 2024 - Python
The official implementation of Error Detection in Egocentric Procedural Task Videos
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.
Simple vispy-based frame-by-frame behavior annotation GUI. Also can display DeepLabCut poses within videos during annotation.
U-shape Deep Networks are Unified Backbones for Human Action Understanding from Wi-Fi Signals
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation (TPAMI 2020) - adapted for surgical tool usage and added attention
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation (TPAMI 2020)
Official Repo for ICCV 2021 Paper "Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning".
Deep learning approach to action segmentation in manufacturing assembly process.
Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation
Official Implementation for "Fast Weakly Supervised Action Segmentation Using Mutual Consistency" - TPAMI 2021
[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)
Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)
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