shuhan

patent-disclosure-skill. 中国专利.skill：从项目文档到交底书编写（挖点·查新·脱敏成文）+ 专利通俗解读（叙事·图谱·Obsidian 私库）。

X-AnyLabeling. X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

AIGC. HTML

yolo-Tutorial. YOLO 目标检测系统学习教程 - 从入门到精通的完整 YOLO 开发学习路径

CA-ITR. This is the source code of our "Camouflage-aware Image-Text Retrieval via Expert Collaboration".

GMBINet. Lightweigh Surface Defect Detection

GrainDet. The repository for paper titled with $GrainDet: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains$

PCNet. Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network

SCNP-SameClassNeighborPenalization. JavaScript

SimConv. Already accepted by WACV2026!

CAMotion. CAMotion: A High-Quality Benchmark for Camouflaged Motion Object Detection in the Wild

CamoFormer. Python

TGRS25-HDNet. A novel Hybrid-Domain Network (HDNet) for Infrared small target detection task.

A3Net.

defect_detection. Jupyter Notebook

idachallenge-baseline. Python

FruitNeRFpp. [IROS25] Offical Code for "FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields" - Inegrated into Nerfstudio

CSOD. [TPAMI 2026] Breaking Barriers, Localizing Saliency: A Large-scale Benchmark and Baseline for Condition-Constrained Salient Object Detection

IFENet. Python

QSFNet. Python

ConTriNet_RGBT-SOD. [TPAMI 2025, Highly Cited Paper] Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection

SACNet. Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified Benchmark

VDT-Dataset.

BiRefNet. [CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

YOLOv8. :fire: Official YOLOv8模型训练和部署

segdino. SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3

SAM2-UNeXT. Integrating SAM2 with DINOv2/v3 for segmentation

ONNX-YOLOv8-Instance-Segmentation. Python scripts performing Instance Segmentation using the YOLOv8 model in ONNX.

yolov7_d2. 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

yolov7-segmentation. YOLOv7 Instance Segmentation using OpenCV and PyTorch

MaskFactory. This repository provides the official PyTorch implementation of the paper: MaskFactory: Towards High-quality Synthetic Data Generation For Dichotomous Image Segmentation

UCOD-DPL. Official pytorch implementation for "Unsupervised Camouflaged Object Detection via Adaptive Pseudo-label Learning and Dynamic Local Refinement" and "UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning"

dinov2. PyTorch code and models for the DINOv2 self-supervised learning method.

LITv2. [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"

ADMNet. Code for TMM 2024 paper. ADMNet: Attention-guided Densely Multi-scale Network for Lightweight Salient Object Detection

MambaSOD. Python

RGBTScribble-ICME2023. Python

WeakPolyp. Python

FOCUS. [AAAI 2025] Official Implementation of "FOCUS: Towards Universal Foreground Segmentation"

MVANet. Multi-view Aggregation Network for Dichotomous Image Segmentation (CVPR24, Highlight)

UDUN. Official Implementation of ACM-MM 2023 paper "Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation"

card_opencv. opencv识别银行卡号

S2ME. S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation (MICCAI 2023)

UltraLight-VM-UNet. [Patterns (Cell subsidiary journal)] The official code for "UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation".

xboundformer. [TMI 2023] XBound-Former: Toward Cross-scale Boundary Modeling in Transformers

IntelliScope. Frontiers in Intelligent Colonoscopy [ColonSurvey | ColonINST | ColonGPT]

CrackForest. C++

VSCode. Code release for "VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning" & "VSCode-v2: Dynamic Prompt Learning for General Visual Salient and Camouflaged Object Detection with Two-Stage Optimization"

axial-attention. Implementation of Axial attention - attending to multi-dimensional data efficiently

USOD10K. Python

ISP_Low_Light_Image_Enhancement. Low_Light_Image_Enhancement

resnet-tensorboard-. 利用resnet迁移快速训练自己的数据集并用tensorboard实时查看

GrainSpace. GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains. CVPR2022

NU-net. Python

PhaseOnlyTranform. This code is to test the algorithm presented in the article "The Phase Only Transform for unsupervised surface defect detection", Aiger & Talbot 2010.

MCITF. ⚡Saliency detection for strip steel surface defects using multiple constraints and improved texture features

Surface-Defect-Detection. 📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

CSU. Concealed Scene Understanding, Visual Intelligence (VI), 2023

awesome-low-light-image-enhancement. This is a resouce list for low light image enhancement

Copy_Move_Forgery_Detection. Detection of copy-move forgery in an image with CMDF methods. (SIFT, SURF, AKAZE, RANSAC)

CFANet. Python

Indiscernible-Object-Counting. CVPR 2023

IFE. The code for our newly accepted paper in MICCAI 2023: "Instructive Feature Enhancement for Dichotomous Medical Image Segmentation."

RMFormer. This Repo. is used for our ACM MM2023 paper: Recurrent Multi-scale Transformer for High-Resolution Salient Object Detection

EGE-UNet. (MICCAI23) This is the official code repository for "EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation".

Awesome-Diffusion-Models-in-Medical-Imaging. Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

MedSegDiff. Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]

MSNet-M2SNet. (MIR 2026 [M2SNet] & MICCAI 2022 GOALS Challenge & MICCAI 2021 [MSNet]) Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation

LSNet. [TIP2023] Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images

Lane-Detection-using-MATLAB. Detection of lanes on a road and prediction of turns based on vanishing point.

MadisNet-Inharmonious-Region-Localization. [AAAI 2022] MadisNet: Inharmonious Region Localization by Magnifying Domain Discrepancy

Traffic-sign-Detection-Recognition-Matlab-RandomForest. Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)

PMF. Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)

Multi-focus-image-fusion-using-LP-PCNN. Matlab

drpredict. Python

DeepGuidedFilter. Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018

PGNet. Pyramid Grafting Network for One-Stage High Resolution Saliency Detection. CVPR 2022

InSPyReNet. Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022)

MST-plus-plus. "MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction

DIS. This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

ClickSEG. A code base for interactive segmentation

TransCL. Accepted by TPAMI 2022

yolov2_xilinx_fpga. A demo for accelerating YOLOv2 in xilinx's fpga pynq/zedboard

awesome-point-cloud-analysis-2023. A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

BackgroundMattingV2. Real-Time High-Resolution Background Matting

AIM. [IJCAI'21] Deep Automatic Natural Image Matting

External-Attention-pytorch. 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

SODBenchmark. Salient objects in clutter, TPAMI, 2022

Awesome-Transformer-Attention. An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

TGANet. TGANet: Text-guided attention for improved polyp segmentation [Early Accepted & Student Travel Award at MICCAI 2022]

A2S-USOD. Public code for our work: Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection (USOD)

SwinNet. Python

GLSTR. Python

UFO. Official PyTorch implementation of the “A Unified Transformer Framework for Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection”. (TMM2023)

DASNet. Is Depth Really Necessary for Salient Object Detection? ACM MM 2020

ZoomNet. Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022

PaperWriting.

UDASOD-UPL. Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning, AAAI Conference on Artificial Intelligence (AAAI), 2022

EGFNet. Python

JSM. Code for NeurIPS 2021 paper. "Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection".

TransformerSOD. A unified framework for Transformer supervised/weakly supervised SOD, RGBD SOD, COD

Scene_Context_Aware_Saliency. Python

SANet-TMM. Structured Attention Network for Referring Image Segmentation, IEEE Transactions on Multimedia (TMM), 2021

MobileSal. [IEEE TPAMI22] MobileSal: Extremely Efficient RGB-D Salient Object Detection [PyTorch & Jittor]

Pixel-Level-Cycle-Association. Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

MFNet. source code for ICCV2021 paper "MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection"

Smoke-semantic-segmentation. Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation

awesome-weakly-supervised-semantic-segmentation. Awesome weakly-supervised image semantic segmentation, 2016-2026

Polyp-PVT. Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers, AIR 2023.

Awesome-Referring-Image-Segmentation. :books: A collection of papers about Referring Image Segmentation.

PVT. Official implementation of PVT series

SCWSSOD. Python

cascaded_rgbd_sod. Python

VST. source code of “Visual Saliency Transformer” (ICCV2021)

RGBT-Salient-Object-Detection. A resource collection of RGBT Salient Object Detection

Depth-of-field-guided-reflection-removal. Matlab

Joint_COD_SOD. Python

awesome-gan-for-medical-imaging. Awesome GAN for Medical Imaging

RBN. The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration

crack_segmentation. This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

Mirrored-Human. [CVPR 2021 Oral] Reconstructing 3D Human Pose by Watching Humans in the Mirror

COD-Rank-Localize-and-Segment. Python

COSNet. See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

CoordAttention. Code for our CVPR2021 paper coordinate attention

CVPR2024-Paper-Code-Interpretation. cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Few-Shot-Semantic-Segmentation-Papers. Few Shot Semantic Segmentation Papers

OpenCE. Contrast Enhancement Techniques for low-light images

SoftPool. [ICCV 2021] Code for approximated exponential maximum pooling

GCNet. GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

SMAC. ReDWeb-S: a large-scale challenging dataset for RGB-D Salient Object Detection.

CV_WSSL. Weakly-/Semi-Supervised Learning in Computer vision

LDF. Codes for the CVPR2020 paper "Label Decoupling Framework for Salient Object Detection"

Cas-Gnn. Cascade Graph Neural Networks for RGB-D Salient Object Detection (ECCV20)

SOD100K. The official repo of the TPAMI 2021/ECCV 2020 work CSNet: A Highly Efficient Model with 100K Parameters to Study the Semantics of Salient Object Detection

Evaluate-SOD. A One-key fast evaluation on saliency object detection with GPU implementation including MAE, Max F-measure, S-measure, E-measure.

PySODEvalToolkit. PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection

Scribble_Saliency. Weakly-Supervised Salient Object Detection via Scribble Annotations, CVPR2020

CoNet. Code for ECCV 2020 paper. "Accurate RGB-D Salient Object Detection via Collaborative Learning".

DANet-RGBD-Saliency. (ECCV 2020) A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection

HDFNet. (ECCV 2020) Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection

GateNet-RGB-Saliency. (IJCV 2024 & ECCV 2020 Oral) Towards Diverse Binary Segmentation via A Simple yet General Gated Network

PGAR_ECCV20. Code for the ECCV 2020 paper: Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection

CMWNet. [ECCV2020] [CMWNet] Cross-Modal Weighting Network for RGB-D Salient Object Detection

BBS-Net. PyTorch implementation of the paper 'BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network, ECCV2020'

D3NetBenchmark. Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks, IEEE TNNLS 2020

hdrnet-pytorch. Unofficial PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017 https://groups.csail.mit.edu/graphics/hdrnet/

ICNet-for-RGBD-SOD. [TIP2020] ICNet: Information Conversion Network for RGB-D Based Salient Object Detection

CVPR_SSF-RGBD. codes of SSF_RGBD

S2MA. source code of "Learning Selective Self-Mutual Attention for RGB-D Saliency Detection" (CVPR2020)

CascadePSP. [CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

Inside-Outside-Guidance. Interactive Object Segmentation with Inside-Outside Guidance

Inf-Net. Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

RAS-pytorch. Pytorch code for our TIP20 paper: Reverse Attention Based Residual Network for Salient Object Detection..

U-2-Net. The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

ITSD-pytorch. code for CVPR 2020 paper "Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection"

F3Net. Codes for the AAAI 2020 paper "F3Net: Fusion, Feedback and Focus for Salient Object Detection"

SegLossOdyssey. A collection of loss functions for medical image segmentation

MINet. CVPR2020, Multi-scale Interactive Network for Salient Object Detection

Structure-Guided-Ranking-Loss. Structure-Guided Ranking Loss for Single Image Depth Prediction

SINet. Camouflaged Object Detection, CVPR 2020 (Oral)

CVPR2020-A2dele. Python

UCNet. UC-Net: Uncertainty Inspired RGB-D Saliency Detectionvia Conditional Variational Autoencoders, CVPR2020

JLDCF. Code for CVPR-2020 paper "JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection"

DMRA. Code for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection". [RGB-D Salient Object Detection]

ASIF-Net. Python

Retinex-Image-Enhancement. Implemented image enhancement algorithms that use retinex theory to increase the contrast in an image.

pytorch-OpCounter. Count the MACs / FLOPs of your PyTorch model.

SCRN. Code of Stacked Cross Refinement Network for Edge-Aware Salient Object Detection (ICCV 2019)

code-of-learn-deep-learning-with-pytorch. This is code of book "Learn Deep Learning with PyTorch"

hed. A PyTorch reimplementation of Holistically-Nested Edge Detection

Reading-List. Reading list on deep learning

Res2Net-PretrainedModels. (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

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

channel-pruning. Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

SOD-CNNs-based-code-summary-. The summary of code and paper for salient object detection with deep learning.

wdsr_ntire2018. Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

EDSR-PyTorch. PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

GLNet. [CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

RCAN. PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

ContrastPrior. The Code of Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection(CVPR2019)

awesome-segmentation-saliency-dataset. A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:

IDN-Caffe. Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

ICNet. ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

ENet. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

RFBNet. Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

RAS_ECCV18. Code for the ECCV 2018 paper "Reverse Attention for Salient Object Detection"

RAS_python. Pytorch realization for "Reverse Attention for Salient Object Detection": ECCV2018.

caffe-augmentation. Data Augmentation for Caffe

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

SODsurvey. Salient Object Detection in the Deep Learning Era: An In-Depth Survey

PoolNet. Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"

DepthwiseConvolution. A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)

MobileNet-Caffe. Caffe Implementation of Google's MobileNets (v1 and v2)

Salient-Object-Detection. In this project, we will release the code of our first work in salient object detection.

DAF-Net. Depth-Attentional Features for Single-Image Rain Removal and RainCityscapes Dataset | CVPR 2019

CPD. Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)

mws. Code for paper Multi-source weak supervision for saliency detection

AGS. Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)

996.ICU. Repo for counting stars and contributing. Press F to pay respect to glorious developers.

PASSRnet. [CVPR 2019] Learning Parallax Attention for Stereo Image Super-Resolution