MIC Group

LLVIP. LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

Meta-SelfLearning. Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

BCI. BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

PEOD. Data and Codes for Our Paper "PEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection under Challenging Conditions"

HHCL-ReID. Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification

CAC-UNet-DigestPath2019. 1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

IAST-ECCV2020. IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

BALNMP. Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset

HSA-NRL. Hard Sample Aware Noise Robust Learning forHistopathology Image Classification

PGDF. Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

RestNet. RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network

HIAST. This is the official implementation of "Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation".

ProML. code for "Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning"

Hybrid-Model-Enabling-Highly-Efficient-Follicular-Segmentation. https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Thyroid-Cytopathological-Diagnosis-with-AMIL_MSFF. Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-Scale Feature Fusion

SwinSF. Python

MPFN. Ischemic Stroke Lesion Segmentation Using Multi-Plane Information Fusion

TCVC. Code of paper "Temporal Consistent Automatic Video Colorization via Semantic Correspondence"

Glomeruli-Instance-Segmentation. Python

SMAF. code for paper “A SELF-TRAINING FRAMEWORK BASED ON MULTI-SCALE ATTENTION FUSION FOR WEAKLY SUPERVISED SEMANTIC SEGMENTATION”

bupt-ai-cz. The introduction and news of CVSM Group.

Label-Noise-Robust-Training. Noise Robust Learning with Hard Example Aware for Pathological Image classification

LLCNN. https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

WUDA. WUDA

ANRN. Python

Thyroid-Nodule-Ultrasound-Image-Classification. Thyroid Nodule Ultrasound Image Classification Through Hybrid Feature Cropping Network

IAST-CAC-UNet-LLCNN-BreastCancerCNN-ImageRetrieval_DF_CDVS-Highly_Efficient_Follicular_Segmentation. Codes and Data for CVSM Group: 1. IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020); 2.

awesome-deep-learning. A curated list of awesome Deep Learning tutorials, projects and communities.

PGCL. Negative Prototypes Guided Contrastive Learning for Weakly Supervised Object Detection

CLIP-ProCL. code for paper xxx

SERL. Python

SOUF. Python

TCNL. Python