Mar 13, 2023 · We augment MIM with a new masking strategy namely the DPPMask by substituting the random process with Determinantal Point Process (DPPs) to reduce the semantic ...
Masked Image Modeling (MIM) has achieved impressive representative performance with the aim of reconstructing randomly masked images.
Masked Image Modeling (MIM) has achieved impressive representative performance with the aim of reconstructing randomly masked images.
This work augments MIM with a new masking strategy namely the DPPMask by substituting the random process with Determinantal Point Process (DPPs) to reduce ...
Apr 12, 2024 · Masked image modeling is a promising self-supervised learning method for visual data. It is typically built upon image patches with random masks ...
[Paper]. WACV 2024. sym. DPPMask: Masked Image Modeling with Determinantal Point Processes. Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Bian ...
Mar 25, 2023 · To address this issue, we augment MIM with a new masking strategy namely the DPPMask by substituting the random process with Determinantal Point ...
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What are determinantal point processes for image processing?
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This paper considers determinantal point processes from an image processing perspective, and is mainly interested in the repulsion properties of such a ...
DPPMask: Masked Image Modeling with Determinantal Point Processes. J Xu, Z Lin, D Zhou, Y Yang, X Liao, Q Wang, B Wu, G Chen, PA Heng. Proceedings of the IEEE ...
DPPMask: Masked Image Modeling with Determinantal Point Processes. Preprint. Full-text available. Mar 2023. Junde Xu · Zikai Lin · Donghao Zhou · Pheng ...