bupt-ai-cz

BALNMP

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

BCI

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

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

HHCL-ReID

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

HSA-NRL

Hard Sample Aware Noise Robust Learning forHistopathology Image Classification

IAST-ECCV2020

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

LLVIP

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

Meta-SelfLearning

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

PGDF

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

ProML

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

bupt-ai-cz/LLVIP

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

bupt-ai-cz/Meta-SelfLearning

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

bupt-ai-cz/BCI

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

bupt-ai-cz/HHCL-ReID

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

bupt-ai-cz/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

bupt-ai-cz/IAST-ECCV2020

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

bupt-ai-cz/BALNMP

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

bupt-ai-cz/HSA-NRL

Hard Sample Aware Noise Robust Learning forHistopathology Image Classification

bupt-ai-cz/PGDF

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

bupt-ai-cz/ProML

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

bupt-ai-cz/Hybrid-Model-Enabling-Highly-Efficient-Follicular-Segmentation

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

bupt-ai-cz/HIAST

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

bupt-ai-cz/Glomeruli-Instance-Segmentation

bupt-ai-cz/RestNet

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

bupt-ai-cz/bupt-ai-cz

The introduction and news of CVSM Group.

bupt-ai-cz/SwinSF

bupt-ai-cz/SMAF

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

bupt-ai-cz/TCVC

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

bupt-ai-cz/Label-Noise-Robust-Training

Noise Robust Learning with Hard Example Aware for Pathological Image classification

bupt-ai-cz/ANRN

bupt-ai-cz/WUDA

WUDA

bupt-ai-cz/awesome-deep-learning

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

bupt-ai-cz/awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

bupt-ai-cz/awesome-transfer-learning

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

bupt-ai-cz/PGCL

Negative Prototypes Guided Contrastive Learning for Weakly Supervised Object Detection

bupt-ai-cz/CLIP-ProCL

code for paper xxx

bupt-ai-cz/DA

Unsupervised Domain Adaptation Papers and Code

bupt-ai-cz/TCNL

bupt-ai-cz/CORENET

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

bupt-ai-cz/Survey-for-Noisy-Label-Processing

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