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autodeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

awesome-crowd-counting

Awesome Crowd Counting

c-3-framework

An open-source PyTorch code for crowd counting

caffe-tools-tolmdb

coda

Implementation for CODA

dacc

Domain-Adaptive Crowd Counting

enet.pytorch

This repository is a PyTorch implementation of ENet.

gcc-cl

GCC dataset Collector and Labeler (GCC CL) [CVPR2019]

gcc-sfcn

This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].

gjy3035

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gjy3035.github.io

个人博客

graph-cnn.pytorch

Pytorch Implementation for Graph Convolutional Neural Networks

kindleear

A website application running in Google app engine, deliver rss news to your kindle. generate mobi by using python, multilanguages supported.

mvsnet

MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

nwpu-crowd-sample-code

The sample code for a large-scale crowd counting dataset, NWPU-Crowd.

nwpu-crowd-sample-code-for-localization

Crowd Localization

pcc-net

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

scar

The code for "SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting"

vision

Datasets, Transforms and Models specific to Computer Vision

wsal_released

The code for "Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes (TIP2019)"