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03/17/2023
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
Mixup provides interpolated training samples and allows the model to obt...
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12/20/2022
Tracking by Associating Clips
The tracking-by-detection paradigm today has become the dominant method ...
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12/20/2022
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection
Scaling object taxonomies is one of the important steps toward a robust ...
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12/16/2022
CD-TTA: Compound Domain Test-time Adaptation for Semantic Segmentation
Test-time adaptation (TTA) has attracted significant attention due to it...
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12/16/2022
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation
Universal Domain Adaptation aims to transfer the knowledge between the d...
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08/03/2022
Per-Clip Video Object Segmentation
Recently, memory-based approaches show promising results on semi-supervi...
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10/08/2021
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
Unsupervised domain adaptation (UDA) for semantic segmentation has been ...
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08/12/2021
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
Unsupervised Domain Adaptation (UDA) for semantic segmentation has been ...
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07/23/2021
Unsupervised Domain Adaptation for Video Semantic Segmentation
Unsupervised Domain Adaptation for semantic segmentation has gained imme...
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08/21/2019
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
In this paper, we investigate the problem of unpaired video-to-video tra...
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05/30/2019