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autodeeplab

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

automl

Google Brain AutoML

awesome-edge-detection-papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。

awesome-longtailed-recognition

awesome-of-long-tailed-recognition

A curated list of long-tailed recognition resources.

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

carnet-v1.0

CarNet is a fast pavement crack detector which achieves excellent accuracy.

carnet_databases

This project contains our three crack detection datasets，i.e., Sun520, Rain365, and BJN260.

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples

contourdetectpapercollection

convnext

Code release for ConvNeXt model

cvpr2019_pyramid-feature-attention-network-for-saliency-detection

code and model of Pyramid Feature Selective Network for Saliency detection

deepmask

Torch implementation of DeepMask and SharpMask

drn

Dilated Residual Networks

egnet

EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)

espnetv2

A light-weight, power efficient, and general purpose convolutional neural network

fast_seg

This repo provides :zap: fast:zap: semantic segmentation models on CityScapes/Camvid DataSet by Pytorch

fastfcn

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

few-shot-semantic-segmentation-papers

Few Shot Semantic Segmentation Papers

google-research

Google AI Research

insightface

Face Analysis Project on MXNet

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

keras-fcn

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）

ldam-drw

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

long-tailed-recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

maxim-pytorch

[CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim