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Introduction to Alternative Assessment,t-time adaptation. While typical approaches rely on a large amount of demonstration data for such generalization, we propose an approach that leverages web videos to predict plausible interaction plans and learns a task-agnostic transformation to obtain robot actions in the real world. Our frameworkminiature 发表于 2025-3-25 12:40:06
Farrah Dina Yusop,Amira Firdausmited by the large computational cost of volumetric rendering. Recently, 3D Gaussian Splatting emerged as a much faster alternative with superior rendering quality and training efficiency, especially for small-scale and object-centric scenarios. Nevertheless, this technique suffers from poor perform狼群 发表于 2025-3-25 18:40:02
Conference proceedings 2025nt learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..顾客 发表于 2025-3-25 21:31:48
0302-9743 reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..978-3-031-73115-0978-3-031-73116-7Series ISSN 0302-9743 Series E-ISSN 1611-3349enormous 发表于 2025-3-26 02:26:37
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Developments in Hematology and Immunologyom the categorical counting module to dynamically adjust the number and positional information of object queries. Our model DQ-DETR outperforms previous CNN-based and DETR-like methods, achieving state-of-the-art mAP 30.2% on the AI-TOD-V2 dataset, which mostly consists of tiny objects. Our code will be available at ..哪有黄油 发表于 2025-3-26 08:53:12
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,SIMBA: Split Inference—Mechanisms, Benchmarks and Attacks,ction techniques for evaluating their privacy-utility trade-off. Finally, we release a dataset of obfuscated representations to foster research in this area. We have open-sourced code, dataset, hyper-parameters, and trained models that can be found at ..Crumple 发表于 2025-3-26 18:49:01
,DQ-DETR: DETR with Dynamic Query for Tiny Object Detection,om the categorical counting module to dynamically adjust the number and positional information of object queries. Our model DQ-DETR outperforms previous CNN-based and DETR-like methods, achieving state-of-the-art mAP 30.2% on the AI-TOD-V2 dataset, which mostly consists of tiny objects. Our code will be available at ..