luhc15's repositories
ACE
This is an implement of ACE: Adapting to Changing Environments for Semantic Segmentation
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)
Book
:green_book:我的个人书籍学习和收藏
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.
deep-learning-localization-mapping
A collection of deep learning based localization models
detr
End-to-End Object Detection with Transformers
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
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
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)
machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
mmcv
OpenMMLab Computer Vision Foundation
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
OpenAgents
OpenAgents: An Open Platform for Language Agents in the Wild
PLMpapers
Must-read Papers on pre-trained language models.
pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
revolver
few-shot segmentation
semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
statistic
collecting books, papers and docs.
Surface-Defect-Detection
📈 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
ZS3
Zero-Shot Semantic Segmentation