luhc15

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

chainer-fcis

Fully Convolutional Instance-aware Semantic Segmentation

Duke-MTMC-Dataset

Extract spatio-temporal correlations on DukeMTMC dataset

luhc15/ACE

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

luhc15/ADVENT

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

luhc15/awesome-ocr

luhc15/awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

luhc15/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)

luhc15/Book

:green_book:我的个人书籍学习和收藏

luhc15/clash-freenode

订阅地址🚀 免费共享♻️ 定期更新✨ 科学上网🌈 请勿滥用🚫一键订阅📪SSR/CLASH/V2RAY

luhc15/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.

luhc15/deep-learning-localization-mapping

A collection of deep learning based localization models

luhc15/detr

End-to-End Object Detection with Transformers

luhc15/EMANet

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

luhc15/EVA

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

luhc15/expVAE

Visually Explainable VAE

luhc15/flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

luhc15/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

luhc15/machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

luhc15/MiniGPT-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

luhc15/mmaction

luhc15/mmcv

OpenMMLab Computer Vision Foundation

luhc15/nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

luhc15/OpenAgents

OpenAgents: An Open Platform for Language Agents in the Wild

luhc15/PLMpapers

Must-read Papers on pre-trained language models.

luhc15/pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

luhc15/revolver

few-shot segmentation

luhc15/semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

luhc15/statistic

collecting books, papers and docs.

luhc15/Surface-Defect-Detection

📈 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

luhc15/URT

luhc15/ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

luhc15/ZS3

Zero-Shot Semantic Segmentation