OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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Updated
Jan 29, 2023 - Python
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Video classification tools using 3D ResNet
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Papers, code and datasets about deep learning and multi-modal learning for video analysis
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
[ICLR2022] official implementation of UniFormer
[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition
Video Classification using 2 stream CNN
To classify video into various classes using keras library with tensorflow as back-end.
[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)
Tutorial about 3D convolutional network
Appearance-and-Relation Networks
Simplest and fastest image and text annotation tool.
Classify UCF101 videos using one frame at a time with a CNN(InceptionV3)
Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018
Explore Action Recognition
[ICLR 2022] TAda! Temporally-Adaptive Convolutions for Video Understanding. This codebase provides solutions for video classification, video representation learning and temporal detection.
Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.
deep learning sex position classifier
Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification
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