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08/25/2023
RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network
Cross-domain few-shot segmentation (CD-FSS) aims to achieve semantic seg...
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05/13/2023
Temporal Consistent Automatic Video Colorization via Semantic Correspondence
Video colorization task has recently attracted wide attention. Recent me...
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05/10/2023
A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation (WSSS) based on image-level labe...
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05/05/2023
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review
For invasive breast cancer, immunohistochemical (IHC) techniques are oft...
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05/04/2023
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning
In semi-supervised domain adaptation (SSDA), a few labeled target sample...
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02/14/2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
The divergence between labeled training data and unlabeled testing data ...
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10/07/2022
TCNL: Transparent and Controllable Network Learning Via Embedding Human-Guided Concepts
Explaining deep learning models is of vital importance for understanding...
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10/05/2022
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels
Unsupervised domain adaptation (UDA) for semantic segmentation addresses...
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04/25/2022
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
The evaluation of human epidermal growth factor receptor 2 (HER2) expres...
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12/05/2021
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification
Deep learning-based histopathology image classification is a key techniq...
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12/04/2021
Construct Informative Triplet with Two-stage Hard-sample Generation
In this paper, we propose a robust sample generation scheme to construct...
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12/04/2021
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides
Objectives: To develop and validate a deep learning (DL)-based primary t...
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12/02/2021
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels
Imperfect labels are ubiquitous in real-world datasets and seriously har...
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09/25/2021
Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification
Unsupervised person re-identification (Re-ID) is a promising and very ch...
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08/24/2021
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
In recent years, deep learning-based methods have shown promising result...
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08/24/2021
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
It is very challenging for various visual tasks such as image fusion, pe...
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08/27/2020
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
The divergence between labeled training data and unlabeled testing data ...
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06/29/2020
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
The automatic and objective medical diagnostic model can be valuable to ...
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02/20/2020
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
Segmentation from renal pathological images is a key step in automatic a...
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02/13/2019
