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[2603.21048] A Two-stage Transformer Framework for Temporal ...

the ViT-Giant backbone delivers higher representations with 88.09% Top-1 test accuracy, while the ViT-based variant proves to be a practical alternative, achieving 82.55% accuracy with significantly ...

arxiv.org

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[2508.13957] ViT-FIQA: Assessing Face Image Quality using Vision ...

(ViT) architectures underexplored. This work proposes ViT-FIQA, a novel approach that extends standard ViT backbones, originally optimized for FR, through a learnable quality token designed to pre...

arxiv.org

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    [2504.00037] ViT-Linearizer: Distilling Quadratic Knowledge into Linear-...

    Abstract page for arXiv paper 2504.00037: ViT-Linearizer: Distilling Quadratic Knowledge into Lin... a contextual reconstruction objective that requires the student to predict the teacher's representatio...

    arxiv.org

    [2506.23532] GViT: Representing Images as Gaussians for Visual Recognition

    and opacities are optimized jointly with a ViT classifier trained on top of these representations. We reuse the classifier gradients as constructive guidance, steering the Gaussians toward class-salient...

    arxiv.org

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    [2410.22709v3] FilterViT and DropoutViT

    View PDFHTML (experimental)Abstract:In this study, we introduce an enhanced version of ViT that conducts attention-based QKV operations during the initial stages of downsampling. Performing atte...

    arxiv.org

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    Domain Name: invitparrties.top Registry Domain ID: D20260219G10001G_68455923-top Registrar WHOIS Server: whois.namesilo.com Registrar URL: https://www.namesilo.com Updated Date: 20...

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    [2407.05266] CLAMP-ViT: Contrastive Data-Free Learning for Adaptive ...

    ViT, with performance improvements of up to 3% in top-1 accuracy for classification, 0.6 mAP for o... this https URLComments: ECCV 2024 Subjects: Computer Vision and Pattern Recognition (cs.CV...

    arxiv.org

    ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for ...

    (vit)have achieved outstanding performance across various computer vision tasks such as image classification, object detection, and instance segmentation. Despite this, in contrast to previously com...

    arxiv.org

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