a-channel-level-pruning-strategy-for-convolutional-neural-networks

This repo shows some code about the pruning strategy in the paper "A Channel-level Pruning Strategy for Convolutional Neural Networks". https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

anrn

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.)

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

breast-cancer-image-classification-on-wsi-with-spatial-correlations

Breast Cancer Image Classification On WSI With Spatial Correlations https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

breastcancercnn

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

bupt-ai-cz

The introduction and news of CVSM Group.

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

da

Unsupervised Domain Adaptation Papers and Code

glomeruli-instance-segmentation

hhcl-reid

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

hiast

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

hsa-nrl

Hard Sample Aware Noise Robust Learning forHistopathology Image Classification

hybrid-model-enabling-highly-efficient-follicular-segmentation

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

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.

iast-eccv2020

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

imageretrieval_df_cdvs

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

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

llvip

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

meta-selflearning

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

mpfn

Ischemic Stroke Lesion Segmentation Using Multi-Plane Information Fusion

pgcl

Negative Prototypes Guided Contrastive Learning for Weakly Supervised Object Detection

pgdf

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

proml

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

restnet

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

smaf

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