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2017-action-recognition-papers

近期要读的2017年顶会的几篇行为识别论文

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

action-recognition-pytorch

Archive action recognition by PyTorch depend on CNN and LSTM

action_recognition_conv_bilstm_attention

action_recognition_using_visual_attention

TensorFlow Implementation of "Action Recognition using Visual Attention"

action_recognition_zoo

Codes for popular action recognition models, verified on the something-something data set.

actionrecognition

Explore Action Recognition

activity-recognition-with-cnn-and-rnn

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

activitynet

This repository is intended to host tools and demos for ActivityNet

activitynet-video-downloader

This simple script is for downloading videos of ActivityNet dataset by parsing URLs from given .json file.

adascan-public

Code for AdaScan: Adaptive Scan Pooling (CVPR 2017)

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

aiinterview

算法工程师面试题整理

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

attention-based-bilstm-relation-extraction

Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)

attentioncluster

TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification"

ava-ii

Video Activity Recognition

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-activity-prediction

Paper list of activity prediction and related area

awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

bidirectionallstm

Action Recognition in Video Sequences using Deep Bi-directional LSTM with CNN Features

caffe

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

caffe-lstm

LSTM implementation on Caffe

caffe_to_torch_to_pytorch

ck-tensorflow

use TensorFlow and Two stream CNN train and test the CK+ dataset

cnn-finetune

finetune model based on "Convolutional Two-Stream Network Fusion for Video Action Recognition"

cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

deep-learning-har

Convolutional and LSTM networks to classify human activity

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18个章节，50余万字。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