bupt-ai-cz

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

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

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

HIAST

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

RestNet

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

bupt-ai-cz

The introduction and news of CVSM Group.

Glomeruli-Instance-Segmentation

SMAF

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

TCVC

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

Label-Noise-Robust-Training

Noise Robust Learning with Hard Example Aware for Pathological Image classification

ANRN

SwinSF

WUDA

WUDA

awesome-deep-learning

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

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

PGCL

Negative Prototypes Guided Contrastive Learning for Weakly Supervised Object Detection

CLIP-ProCL

code for paper xxx

DA

Unsupervised Domain Adaptation Papers and Code

TCNL

CORENET

Codes for our paper “Learning Robust Correlation with Foundation Model for Weakly-Supervised Few-Shot Segmentation“

Survey-for-Noisy-Label-Processing

Data and Codes for Our Paper "Noisy Label Processing for Classification: A Survey"