temporal-shift-module

Temporal processor

Develops a video analysis module with efficient temporal processing capabilities

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

GitHub

2k stars
42 watching
416 forks
Language: Python
last commit: about 2 years ago
accelerationefficient-modellow-latencynvidia-jetson-nanotemporal-modelingtsmvideo-understanding

Related projects:

RepositoryDescriptionStars
llyx97/tempcompassA tool to evaluate video language models' ability to understand and describe video content91
predict-idlab/tsflexA toolkit for flexible time series processing and feature extraction.405
yjxiong/tsn-pytorchA PyTorch implementation of Temporal Segment Networks (TSN) for action recognition and video understanding.1,066
zygurt/tsmTools and methods for modifying the timing of audio signals in various ways62
researchmm/sttnProposes a deep learning model to fill missing regions in video frames and generate completed videos480
labatrockwell/opentspsA toolkit for analyzing live video and sending the results in various formats to clients.194
torchspatiotemporal/tslA comprehensive library for processing spatiotemporal data with PyTorch281
machine-w/crownA lightweight ORM library for TDengine time series databases35
mysteryx93/hanumaninstituteappsA suite of tools for audio and video processing, including pitch-shifting, batch conversion, and background playback.144
fzj-iek3-vsa/tsamA Python package for aggregating and analyzing time series data to accelerate model runs150
viorik/convlstmAn implementation of a spatio-temporal convolutional LSTM module for video autoencoders with differentiable memory293
fabian-jung/tsmpTool to generate meta-programming capabilities from source code analysis97
jordipons/icassp2017Designs efficient architectures for modeling temporal features with deep learning networks16
zhegan27/tsbn_code_nips2015This Matlab code implements a deep learning model for sequence modeling using a novel belief network architecture.48
techascent/tech.ml.datasetA Clojure library for efficient tabular data processing and analysis687