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ace

This is an implement of ACE: Adapting to Changing Environments for Semantic Segmentation

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

advent

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

alphapose

Multi-Person Pose Estimation System

awesome-ocr

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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)

blockdrop

BlockDrop: Dynamic Inference Paths in Residual Networks

book

:green_book:我的个人书籍学习和收藏

chainer-fcis

Fully Convolutional Instance-aware Semantic Segmentation

conference-acceptance-rate

Statistics of acceptance rate for the main AI conference

data_augmentation_zoo_for_object_detection

Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.

dataset_loaders

A collection of dataset loaders

deep-feature-flow

Deep Feature Flow for Video Recognition

deep-learning-localization-mapping

A collection of deep learning based localization models

deformable-convnets

Deformable Convolutional Networks

deformable-convolution-v2-pytorch

Deformable ConvNets V2 (DCNv2) in PyTorch

detr

End-to-End Object Detection with Transformers

duke-mtmc-dataset

Extract spatio-temporal correlations on DukeMTMC dataset

emanet

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

eva

Exploring the Limits of Masked Visual Representation Learning at Scale (https://arxiv.org/abs/2211.07636)

expvae

Visually Explainable VAE

ffmpeg

Mirror of git://source.ffmpeg.org/ffmpeg.git

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

genet

gluoncv-torch

PyTorch API for GluonCV Models

graphtsne

PyTorch Implementation of GraphTSNE, ICLR’19

image_bbox_slicer

This easy-to-use library is a data transformer sometimes useful in Object Detection and Segmentation tasks. With only a few lines of code, one can slice images and their bounding box annotations into smaller tiles, both into specific sizes and into any arbitrary number of equal parts. The tool also supports resizing of images and their bounding box

l2t-ww

Learning What and Where to Transfer (ICML 2019)

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)