Two-stream cnn models for action recognition on the UCF-101 dataset
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Updated
Sep 17, 2018 - Python
Two-stream cnn models for action recognition on the UCF-101 dataset
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
Non-Driving-Activiy_recognition in level 3 autonomous vehicle
Two-stream CNNs for Video Action Recognition using Stacked Optical Flow. Implemented in Keras on HMDB-51 dataset.
Action Recognition with Cross-correlation fusion network and Discriminative Filter Network
A line-by-line longwave radiation code for planetary atmospheres.
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
Motion-Attentive Transition for Zero-Shot Video Object Segmentation (AAAI2020&TIP2021)
Activity Recognition Algorithms for the Charades Dataset
PyTorch implementation of two-stream networks for video action recognition
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
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