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Published in 2024 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-024-02327-w
Abstract: Masked image modeling (MIM) pre-training for large-scale vision transformers (ViTs) has enabled promising downstream performance on top of the learned self-supervised ViT features. In this paper, we question if the extremely simple lightweight ViTs’ fine-tuning…
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Keywords:
image modeling;
vision;
masked image;
usepackage ... See more keywords
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Published in 2021 at "Journal of Craniofacial Surgery"
DOI: 10.1097/scs.0000000000007672
Abstract: Abstract Three-dimensional (3D) modeling and printing technologies are increasingly utilized as tools to assist in complex craniofacial reconstructions. Herein, the authors report the intraoperative use of sterilized 3D models printed in-house to mold a custom…
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Keywords:
reconstruction;
mirror image;
image modeling;
using printing ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3589488
Abstract: Masked image modeling (MIM) has emerged as an effective self-supervised learning paradigm for pre-training Vision Transformers (ViTs) by reconstructing missing pixels from masked image regions. While prior approaches have demonstrated strong performance, they typically rely…
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Keywords:
simplifying masked;
image modeling;
image;
masked image ... See more keywords
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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3558432
Abstract: Masked image modeling (MIM), a common self-supervised learning (SSL) technique, has been extensively studied for remote sensing (RS) image processing. Nevertheless, its effectiveness for hyperspectral imagery (HSI) remains underexplored due to the distinct data structures…
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Keywords:
classification;
image modeling;
image;
hsi ... See more keywords
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Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2024.3412004
Abstract: The crux of effective out-of-distribution (OOD) detection lies in acquiring a robust in-distribution (ID) representation, distinct from OOD samples. While previous methods predominantly leaned on recognition-based techniques for this purpose, they often resulted in shortcut…
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Keywords:
detection;
score functions;
image modeling;
distribution ... See more keywords