GuoleiSun

LCFCN

ECCV 2018 - Where are the Blobs: Counting by Localization with Point Supervision

ultra-thin-PRM

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

Context-Aware_Crowd_Counting-pytorch

The implementation of Context-Aware Crowd Counting(CVPR2019)

Detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Inductive-graph-embedding-via-deep-neural-nets

irn

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

ML-GCN

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

PRM

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

project1

Res2Net

The official pytorch implemention of the paper "Res2Net: A New Multi-scale Backbone Architecture"

SPG

Self-produced Guidance for Weakly-supervised Object Localization

astmt

Attentive Single-tasking of Multiple Tasks

DotDotGoose

DotDotGoose is a free, open source tool to assist with manually counting objects in images

LocalAggregation-Pytorch

OAA

Code for our ICCV 2019 paper "Integral Object Mining via Online Attention Accumulation"

PhysNet

code of BMVC2019 paper 'Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks'

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-classification

Classification with PyTorch.

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

rPPG

SODsurvey

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

taskonomy-sample-model-1

Model, selected at random, from the training set of the paper "Taskonomy: Disentangling Task Transfer Learning"

wsol-min-max-entropy-interpretability

Pytorch code for: Min-max Entropy for Weakly Supervised Pointwise Localization