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近期要读的2017年顶会的几篇行为识别论文
3D ResNets for Action Recognition (CVPR 2018)
Archive action recognition by PyTorch depend on CNN and LSTM
TensorFlow Implementation of "Action Recognition using Visual Attention"
Codes for popular action recognition models, verified on the something-something data set.
Explore Action Recognition
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
This repository is intended to host tools and demos for ActivityNet
This simple script is for downloading videos of ActivityNet dataset by parsing URLs from given .json file.
Code for AdaScan: Adaptive Scan Pooling (CVPR 2017)
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)
算法工程师面试题整理
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
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification"
Video Activity Recognition
A curated list of action recognition and related area resources
Paper list of activity prediction and related area
算法工程师(人工智能CV方向)面试问题及相关资料
Action Recognition in Video Sequences using Deep Bi-directional LSTM with CNN Features
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.
LSTM implementation on Caffe
use TensorFlow and Two stream CNN train and test the CK+ dataset
finetune model based on "Convolutional Two-Stream Network Fusion for Video Action Recognition"
: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
Convolutional and LSTM networks to classify human activity
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
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