Using two stream architecture to implement a classic action recognition method on UCF101 dataset
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Updated
Oct 14, 2019 - Python
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
Video Platform for Action Recognition and Object Detection in Pytorch
Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone
My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves result…
Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.
End-to-End Semi-Supervised Learning for Video Action Detection [CVPR 2022]
TensorFlow implementation for "Guided Optical Flow Learning"
[AAAI 2023 (Oral)] CrissCross: Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
Action recognition tutorial using UCF-101 dataset.
Implementation of LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN
PyTorch implementation for "Gated Transfer Network for Transfer Learning"
Testing code for few-shot action recognition
[AAAI 2024] XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning.
Temporal 3D ConvNet
Pytorch inception v4 for human actions recognition.
Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficient Model Training (KIBME 2021)
Computer Vision: African Motion Content Network
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