Pinned Repositories
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
luhc15's Repositories
luhc15/OpenAgents
OpenAgents: An Open Platform for Language Agents in the Wild
luhc15/MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
luhc15/EVA
Exploring the Limits of Masked Visual Representation Learning at Scale (https://arxiv.org/abs/2211.07636)
luhc15/PLMpapers
Must-read Papers on pre-trained language models.
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/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/statistic
collecting books, papers and docs.
luhc15/awesome-ocr
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/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
luhc15/deep-learning-localization-mapping
A collection of deep learning based localization models
luhc15/detr
End-to-End Object Detection with Transformers
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/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
luhc15/flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
luhc15/expVAE
Visually Explainable VAE
luhc15/URT
luhc15/Book
:green_book:我的个人书籍学习和收藏
luhc15/machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
luhc15/ZS3
Zero-Shot Semantic Segmentation
luhc15/revolver
few-shot 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/EMANet
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
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-semantic-segmentation
:metal: awesome-semantic-segmentation
luhc15/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
luhc15/mmaction
luhc15/L2T-ww
Learning What and Where to Transfer (ICML 2019)