maodong2056's repositories

action-recognition

Archive action recognition by PyTorch depend on CNN and LSTM

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flownet2-tf

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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VITON

Code and dataset for paper "VITON: An Image-based Virtual Try-on Network"

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awesome-anomaly-detection

A curated list of awesome anomaly detection resources

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BSN-boundary-sensitive-network

Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"

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BSN-boundary-sensitive-network.pytorch

Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"

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C3D

C3D is a modified version of BVLC caffe to support 3D ConvNets.

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caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

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caffe2pytorch-tsn

Transform the caffe model to pytorch model for Temporal Segment Network

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caffe_ocr

主流ocr算法研究实验性的项目,目前实现了CNN+BLSTM+CTC架构

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crnn.caffe

crnn.caffe

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daps

This repo allocate DAPs code of our ECCV 2016 publication

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deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

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DTPP

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

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Image-Captioning

图像中文描述

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Image_Captioning_AI_Challenger

Code for AI Challenger contest. (Generating chinese image captions)

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NLRN

Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

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Optical-Flow-Guided-Feature

Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018

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Papers

The list of some conference papers.

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pseudo-3d-residual-networks

Pseudo-3D Convolutional Residual Networks for Video Representation Learning

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pytorch1.0-cn

PyTorch 1.0 官方文档 中文版,欢迎关注微信公众号:磐创AI

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PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

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Real-Time-Action-Recognition

Real-time pose estimation and action recognition

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SENet

Squeeze-and-Excitation Networks

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seqvlad-pytorch

The implementation of Sequential VLAD in Pytorch

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squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

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temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

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VMZ

R(2+1)D and Mixed-Convolutions for Action Recognition.

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