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12/04/2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Deep Neural Networks (DNNs) have been ubiquitously adopted in internet o...
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11/22/2022
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
Generalizing models trained on normal visual conditions to target domain...
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08/11/2022
HiTailor: Interactive Transformation and Visualization for Hierarchical Tabular Data
Tabular visualization techniques integrate visual representations with t...
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08/02/2022
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation
Extensive studies on Unsupervised Domain Adaptation (UDA) have propelled...
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04/26/2022
ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation
Infrared cameras are often utilized to enhance the night vision since th...
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04/19/2022
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation attempts to make satisfactory dens...
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03/27/2022
Causality Inspired Representation Learning for Domain Generalization
Domain generalization (DG) is essentially an out-of-distribution problem...
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02/17/2022
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving
Vision-based autonomous urban driving in dense traffic is quite challeng...
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12/18/2021
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
Deep neural networks (DNNs) have become ubiquitous techniques in mobile ...
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12/08/2021
Pareto Domain Adaptation
Domain adaptation (DA) attempts to transfer the knowledge from a labeled...
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12/02/2021
Active Learning for Domain Adaptation: An Energy-based Approach
Unsupervised domain adaptation has recently emerged as an effective para...
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11/25/2021
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a l...
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11/25/2021
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Self-training has greatly facilitated domain adaptive semantic segmentat...
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08/12/2021
Semantic Concentration for Domain Adaptation
Domain adaptation (DA) paves the way for label annotation and dataset bi...
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08/02/2021
I2V-GAN: Unpaired Infrared-to-Visible Video Translation
Human vision is often adversely affected by complex environmental factor...
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05/11/2021
Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation
Domain adaptive semantic segmentation refers to making predictions on a ...
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03/23/2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
Real-world training data usually exhibits long-tailed distribution, wher...
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03/23/2021
Transferable Semantic Augmentation for Domain Adaptation
Domain adaptation has been widely explored by transferring the knowledge...
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03/23/2021
Generalized Domain Conditioned Adaptation Network
Domain Adaptation (DA) attempts to transfer knowledge learned in the lab...
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12/13/2020
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
Unsupervised domain adaptation challenges the problem of transferring kn...
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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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05/14/2020
Domain Conditioned Adaptation Network
Tremendous research efforts have been made to thrive deep domain adaptat...
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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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01/17/2018
