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09/07/2023
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
As it is empirically observed that Vision Transformers (ViTs) are quite ...
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08/19/2023
TDG: Text-guided Domain Generalization
Domain generalization (DG) attempts to generalize a model trained on sin...
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08/02/2023
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
The Class Incremental Semantic Segmentation (CISS) extends the tradition...
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06/04/2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
The crux of label-efficient semantic segmentation is to produce high-qua...
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05/23/2023
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation aims to transfer knowledge from a ...
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05/22/2023
Robust heavy-tailed versions of generalized linear models with applications in actuarial science
Generalized linear models (GLMs) form one of the most popular classes of...
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04/12/2023
Hard Patches Mining for Masked Image Modeling
Masked image modeling (MIM) has attracted much research attention due to...
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03/16/2023
A Survey of Deep Visual Cross-Domain Few-Shot Learning
Few-Shot transfer learning has become a major focus of research as it al...
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08/16/2022
TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation
Collecting and annotating task-oriented dialog data is difficult, especi...
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03/25/2022
Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes
Sound source localization in visual scenes aims to localize objects emit...
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06/22/2021
Give Me Your Trained Model: Domain Adaptive Semantic Segmentation without Source Data
Benefited from considerable pixel-level annotations collected from a spe...
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06/15/2016