chajchaj's repositories
book
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
CVPR2020-Paper-Code-Interpretation
cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理
evanet-iccv19
Code and models for our ICCV'19 paper "Evolving Space-Time Neural Architectures for Videos"
FluidDoc
Documentations for PaddlePaddle
models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
PaddleNLP
An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.
representation-flow-cvpr19
Code and models for our CVPR'19 paper "Representation Flow for Action Recognition"
SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
video-long-term-feature-banks
Long-Term Feature Banks for Detailed Video Understanding
video-understanding
videoaction-recognition action-detection video-understanding temporal-action-detection temporal-action-localization spatial-temporal-action-detection