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09/08/2023
Create Your World: Lifelong Text-to-Image Diffusion
Text-to-image generative models can produce diverse high-quality images ...
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08/29/2023
iBARLE: imBalance-Aware Room Layout Estimation
Room layout estimation predicts layouts from a single panorama. It requi...
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07/06/2023
Can Domain Adaptation Improve Accuracy and Fairness of Skin Lesion Classification?
Deep learning-based diagnostic system has demonstrated potential in clas...
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03/05/2023
IDA: Informed Domain Adaptive Semantic Segmentation
Mixup-based data augmentation has been validated to be a critical stage ...
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03/04/2023
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation
Many research efforts have been committed to unsupervised domain adaptat...
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09/20/2022
Adversarial Bi-Regressor Network for Domain Adaptive Regression
Domain adaptation (DA) aims to transfer the knowledge of a well-labeled ...
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05/22/2022
Learnable Visual Words for Interpretable Image Recognition
To interpret deep models' predictions, attention-based visual cues are w...
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04/12/2022
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation
Nuclear norm maximization has shown the power to enhance the transferabi...
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12/05/2021
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car
Prediction of pedestrian behavior is critical for fully autonomous vehic...
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10/29/2021
Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation
Detecting navigable space is a fundamental capability for mobile robots ...
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05/06/2021
Towards Novel Target Discovery Through Open-Set Domain Adaptation
Open-set domain adaptation (OSDA) considers that the target domain conta...
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01/25/2021
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation
Domain adaptation has received a lot of attention in recent years, and m...
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12/08/2020
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
Weakly-supervised learning has attracted growing research attention on m...
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10/23/2020
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
Domain adaptation (DA) becomes an up-and-coming technique to address the...
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08/27/2020
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
Unsupervised Domain adaptation (UDA) attempts to recognize the unlabeled...
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08/27/2020
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation
Partial domain adaptation (PDA) attracts appealing attention as it deals...
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08/26/2020
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation
Partial domain adaptation aims to adapt knowledge from a larger and more...
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08/04/2020
Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation
Heterogeneous domain adaptation (HDA) transfers knowledge across source ...
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07/01/2020
Rethink Maximum Mean Discrepancy for Domain Adaptation
Existing domain adaptation methods aim to reduce the distributional diff...
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06/16/2020
Mining Label Distribution Drift in Unsupervised Domain Adaptation
Unsupervised domain adaptation targets to transfer task knowledge from l...
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05/14/2020
Domain Conditioned Adaptation Network
Tremendous research efforts have been made to thrive deep domain adaptat...
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05/08/2020
Sparsely-Labeled Source Assisted Domain Adaptation
Domain Adaptation (DA) aims to generalize the classifier learned from th...
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04/10/2020
Deep Residual Correction Network for Partial Domain Adaptation
Deep domain adaptation methods have achieved appealing performance by le...
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03/29/2020
Generative Partial Multi-View Clustering
Nowadays, with the rapid development of data collection sources and feat...
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03/04/2020
Towards Fair Cross-Domain Adaptation via Generative Learning
Domain Adaptation (DA) targets at adapting a model trained over the well...
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02/12/2020
Bi-Directional Generation for Unsupervised Domain Adaptation
Unsupervised domain adaptation facilitates the unlabeled target domain r...
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12/24/2019
Probabilistic Filtered Soft Labels for Domain Adaptation
Many domain adaptation (DA) methods aim to project the source and target...
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09/28/2019
Robust Knowledge Discovery via Low-rank Modeling
It is always an attractive task to discover knowledge for various learni...
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09/17/2019
Cycle-consistent Conditional Adversarial Transfer Networks
Domain adaptation investigates the problem of cross-domain knowledge tra...
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05/31/2019
Consensus Clustering: An Embedding Perspective, Extension and Beyond
Consensus clustering fuses diverse basic partitions (i.e., clustering re...
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04/08/2019
Leveraging the Invariant Side of Generative Zero-Shot Learning
Conventional zero-shot learning (ZSL) methods generally learn an embeddi...
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08/18/2018