Using two stream architecture to implement a classic action recognition method on UCF101 dataset
-
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
Activity Recognition Algorithms for the Charades Dataset
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
A line-by-line longwave radiation code for planetary atmospheres.
Action Recognition with Cross-correlation fusion network and Discriminative Filter Network
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.
Two-stream cnn models for action recognition on the UCF-101 dataset
Add a description, image, and links to the two-stream topic page so that developers can more easily learn about it.
To associate your repository with the two-stream topic, visit your repo's landing page and select "manage topics."