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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

P2Net.pytorch

LovaszSoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

mmfashion

Open-source toolbox for visual fashion analysis based on PyTorch

Self-Correction-Human-Parsing

An out-of-box human parsing representation extractor.

WSHP

Code for CVPR'18 spotlight "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer"

Parsing-R-CNN

Parsing R-CNN for Instance-Level Human Analysis

DeepFashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

PIC_HOIW

ICCV2019-Horde

Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.

Res2Net-PretrainedModels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

tps_stn_pytorch

PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)

Transferable-Interactiveness-Network

Code for Transferable Interactiveness Knowledge for Human-Object Interaction Detection. (CVPR'19, TPAMI'21)

Grid-Anchor-based-Image-Cropping-Pytorch

PyTorch implementation of "Grid anchor based image cropping"

gluoncv-torch

PyTorch API for GluonCV Models

ECN

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

HA_deblur

Human-Aware Motion Deblurring (ICCV2019)

Stand-Alone-Self-Attention

Implementing Stand-Alone Self-Attention in Vision Models using Pytorch

LDAM-DRW

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

SSGRL

Deep-Fashion-Analysis-ECCV2018

Codes of ECCV 2018 workshop paper "Deep Fashion Analysis with Feature Map Upsampling and Landmark-driven Attention"

EMANet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

AET

Auto-Encoding Transformations (AETv1), CVPR 2019

openseg.pytorch

The official Pytorch implementation of OCNet series and SegFix.

VITON

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

byteps

A high performance and generic framework for distributed DNN training

semseg

Semantic Segmentation in Pytorch

HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919