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suprespark's Projects

beyond-part-models icon beyond-part-models

PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch

caffe-reid icon caffe-reid

A Discriminatively Learned CNN Embedding for Person Re-identification

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

ecn icon ecn

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019

edges icon edges

Structured Edge Detection Toolbox

mar icon mar

Pytorch code for our CVPR'19 (oral) work: Unsupervised person re-identification by soft multilabel learning

mmt icon mmt

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

open-reid icon open-reid

Open source person re-identification library in python

pacnet icon pacnet

Pixel-Adaptive Convolutional Neural Networks (CVPR '19)

person_reid_baseline_pytorch icon person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

personreid_normxcorr icon personreid_normxcorr

Deep neural network model introducing new novel matching layer called 'Normalized correlation' layer. This repository contain information about the datasets used, implementation code

pretrained-models.pytorch icon pretrained-models.pytorch

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

pygat icon pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygcn icon pygcn

Graph Convolutional Networks in PyTorch

ram_person_id icon ram_person_id

Recurrent Attention Models for Depth-Based Person Identification

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