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08/20/2023
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization
Deep Neural Networks have exhibited considerable success in various visu...
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08/18/2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization
Domain generalization (DG) is proposed to deal with the issue of domain ...
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08/13/2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Semi-supervised learning is attracting blooming attention, due to its su...
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08/02/2023
A Novel Cross-Perturbation for Single Domain Generalization
Single domain generalization aims to enhance the ability of the model to...
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07/25/2023
NormAUG: Normalization-guided Augmentation for Domain Generalization
Deep learning has made significant advancements in supervised learning. ...
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04/06/2023
Patch-aware Batch Normalization for Improving Cross-domain Robustness
Despite the significant success of deep learning in computer vision task...
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03/21/2023
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization
Domain generalization (DG) aims to learn a model that generalizes well t...
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08/21/2022
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
In this work, we revisit the weak-to-strong consistency framework, popul...
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08/11/2022
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization
Domain generalization (DG) aims at learning a model on source domains to...
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08/08/2022
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration
For medical image analysis, segmentation models trained on one or severa...
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04/12/2022
Label Distribution Learning for Generalizable Multi-source Person Re-identification
Person re-identification (Re-ID) is a critical technique in the video su...
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12/21/2021
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization
For medical image segmentation, imagine if a model was only trained usin...
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04/06/2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
The pandemic of coronavirus disease 2019 (COVID-19) is spreading all ove...
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10/18/2019
Automatic Data Augmentation by Learning the Deterministic Policy
Aiming to produce sufficient and diverse training samples, data augmenta...
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08/02/2019
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification
In person re-identification (Re-ID), supervised methods usually need a l...
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04/06/2019
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification
Unsupervised cross-domain person re-identification (Re-ID) faces two key...
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05/15/2018
Online Deep Metric Learning
Metric learning learns a metric function from training data to calculate...
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04/27/2018
Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning
Due to low tissue contrast, irregular object appearance, and unpredictab...
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04/11/2018
MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification
In this paper, a novel mask based deep ranking neural network with skipp...
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03/18/2018
The Automatic Identification of Butterfly Species
The available butterfly data sets comprise a few limited species, and th...
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03/09/2017
WebCaricature: a benchmark for caricature face recognition
Caricatures are facial drawings by artists with exaggeration on certain ...
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09/29/2016
