BoPang1996/Deep-RNN-Framework

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Created almost 6 years ago
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BoPang1996/Deep-RNN-Framework

BoPang1996

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Code for paper "Deep RNN Framework for Visual Sequential Applications".

TubeTK

Official implementation of paper: TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model (CVPR 2020 oral)

Hybrid-model-for-human-action-adverb-recognition

Baseline Code for ADHA dataset

PGT

Official code of paper "PGT: A Progressive Method for Training Models on Long Videos" on CVPR2021

Semi-Coupled-Structure-for-visual-sequental-tasks

Code and demo of paper “Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts” submitted to Nature Machine Intelligence

SMoG

Official code for ECCV paper "Unsupervised Visual Representation Learning by Synchronous Momentum Grouping"