bupt-ai-cz/Glomeruli-Instance-Segmentation

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bupt-ai-cz/Glomeruli-Instance-Segmentation

bupt-ai-cz

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LLVIP

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

Jupyter Notebook

Meta-SelfLearning

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

BCI

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

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

PGDF

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

HSA-NRL

Hard Sample Aware Noise Robust Learning forHistopathology Image Classification

HIAST

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

Thyroid-Cytopathological-Diagnosis-with-AMIL_MSFF

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

TCVC

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

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

Thyroid-Nodule-Ultrasound-Image-Classification

Thyroid Nodule Ultrasound Image Classification Through Hybrid Feature Cropping Network

MPFN

Ischemic Stroke Lesion Segmentation Using Multi-Plane Information Fusion

ProML

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

ANRN

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.

WUDA

TCNL

SMAF

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