配偶
发表于 2025-3-23 13:34:57
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强化
发表于 2025-3-23 16:51:04
The Importance of Social Security,dows, cross-attention, and token pooling operations, which is used to predict dense 2D-3D correspondence maps; (ii) a pure Transformer-based pose refinement module (Trans6D+) which refines the estimated poses iteratively. Extensive experiments show that the proposed approach achieves state-of-the-ar
省略
发表于 2025-3-23 18:52:52
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Throttle
发表于 2025-3-24 00:14:48
https://doi.org/10.1007/b138877ce-level pose estimation. We propose ., a two-stage pipeline that learns to estimate category-level transparent object pose using localized depth completion and surface normal estimation. TransNet is evaluated in terms of pose estimation accuracy on a recent, large-scale transparent object dataset a
Incisor
发表于 2025-3-24 06:01:21
Christina Elschner,Robert Schwagermains. During training, given a query image from a domain, we employ gated fusion and attention to generate a positive example, which carries a broad notion of the semantics of the query object category (from across multiple domains). By virtue of Contrastive Learning, we pull the embeddings of the
FLAIL
发表于 2025-3-24 07:45:30
Christina Elschner,Robert Schwagerividualized sketching styles. We thus propose data generation and standardization mechanisms. Instead of distortion-free line drawings, synthesized sketches are adopted as input training data. Additionally, we propose a sketch standardization module to handle different sketch distortions and styles.
思想
发表于 2025-3-24 11:18:17
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文艺
发表于 2025-3-24 15:17:05
Immanent and Transeunt Causation, model to exploit features at different layers of the network. We evaluate HS-I3D on the ChaLearn 2022 Sign Spotting Challenge - MSSL track and achieve a state-of-the-art 0.607 F1 score, which was the top-1 winning solution of the competition.
BAN
发表于 2025-3-24 22:22:17
Conference proceedings 2023ng for Next-Generation Industry-LevelAutonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for
伪书
发表于 2025-3-25 00:39:53
0302-9743 xt in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for 978-3-031-25084-2978-3-031-25085-9Series ISSN 0302-9743 Series E-ISSN 1611-3349