[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
-
Updated
Nov 4, 2020 - Python
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
Video recognition: Temporal Shift Module With Audio Modality
TSM video action recognition on UCF-101 — 92.4% Top-1 at 27.6 FPS, 6.7x faster than I3D — served through async FastAPI with JWT/RBAC and a Streamlit admin analytics dashboard.
TSM-based IPN-Hand gesture recognition (RGB, 8 frames). Adds dynamic 3x3 kernels to CoordAtt, class-balanced sampling and label-swapping horizontal flip. PyTorch.基于 TSM 改造的 IPN-Hand 手势识别(RGB,8 帧),含 CoordAtt 坐标注意力动态卷积核、 类别均衡采样与水平翻转等优化。PyTorch 实现。
CV - violence detection
To associate your repository with the temporal-shift-module topic, visit your repo's landing page and select "manage topics."