Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation
-
Updated
Feb 1, 2022 - Python
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
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.
The official implementation of Error Detection in Egocentric Procedural Task Videos
Official Implementation for "Fast Weakly Supervised Action Segmentation Using Mutual Consistency" - TPAMI 2021
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.
U-shape Deep Networks are Unified Backbones for Human Action Understanding from Wi-Fi Signals
Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)
[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation (TPAMI 2020)
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."