OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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Updated
May 16, 2024 - Python
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
An open-source toolbox for action understanding based on PyTorch
Code & Models for Temporal Segment Networks (TSN) in ECCV 2016
Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Temporal Segment Networks (TSN) in PyTorch
Video Foundation Models & Data for Multimodal Understanding
[CVPR 2024 Highlight🔥] Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
temporal action detection with SSN
[ICCV 2023] MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
Official code for MiniGPT4-video
[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition
Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
Temporally Efficient Vision Transformer for Video Instance Segmentation, CVPR 2022, Oral
ActionVLAD for video action classification (CVPR 2017)
[ICLR 2022] TAda! Temporally-Adaptive Convolutions for Video Understanding. This codebase provides solutions for video classification, video representation learning and temporal detection.
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