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3d-resnet-tensorflow

Inflate 2dresnet to 3dresnet and use imagenet2d pretrain for train kinetics by tensorflow

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

a-collection-of-important-tasks-in-pytorch

Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!

action-detection

temporal action detection with SSN

action-recognition-compressed-domain

Code for submission of Neurips 2019 paper entitled "Accelerating Action Recognition In The Compressed Domain"

action-recognition-models-pytorch

The models of action recognition with pytorch

activitynet

This repository is intended to host tools and demos for ActivityNet

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

artnet

Appearance-and-Relation Networks

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

ava-dataset

The AVA dataset densely annotates 80 atomic visual actions in 351k movie clips with actions localized in space and time, resulting in 1.65M action labels with multiple labels per human occurring frequently.

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-reading-list

程序员必读书单

c3d-tensorflow

cc

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

cgnl-network.pytorch

Compact Generalized Non-local Network (NIPS 2018)

competitivesenet

Source code of paper: Competitive Inner-Imaging Squeeze and Excitation for Residual Network

convnet-aig

PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs

convolutional-block-attention-module

Unofficial implementation of Convolutional Block Attention Module (CBAM)

cvpr2019

cvpr2019 papers

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deephar

Deep human action recognition and pose estimation

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dtpp

Deep networks with Temporal Pyramid Pooling. The official implementation for "End-to-end Video-level Representation Learning for Action Recognition, ICPR2018."

eco-pytorch

PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

efficient-3dcnns

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.