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03/26/2023
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
Label-efficient and reliable semantic segmentation is essential for many...
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03/24/2023
Robust Test-Time Adaptation in Dynamic Scenarios
Test-time adaptation (TTA) intends to adapt the pretrained model to test...
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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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11/14/2022
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
We launch EVA, a vision-centric foundation model to explore the limits o...
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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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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
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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11/24/2021
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning
Although there is significant progress in supervised semantic segmentati...
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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
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
