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
PyTorch implementation of two-stream networks for video action recognition
Motion-Attentive Transition for Zero-Shot Video Object Segmentation (AAAI2020&TIP2021)
Code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery published in KDD Applied Data Science Track 2020
Two-stream CNNs for Video Action Recognition using Stacked Optical Flow. Implemented in Keras on HMDB-51 dataset.
Non-Driving-Activiy_recognition in level 3 autonomous vehicle
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
Two-stream cnn models for action recognition on the UCF-101 dataset
Action Recognition with Cross-correlation fusion network and Discriminative Filter Network
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