HAWK
发表于 2025-3-28 18:12:45
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社团
发表于 2025-3-28 22:37:12
J. Harvey B.Sc. (Econ.), Dip. Ed. (Oxford)ied unknown classes. However, it cannot distinguish unknown instances as multiple unknown classes. In this work, we propose a novel OWOD problem called Unknown-Classified Open World Object Detection (UC-OWOD). UC-OWOD aims to detect unknown instances and classify them into different unknown classes.
变色龙
发表于 2025-3-29 01:41:14
Alessandro Cigno,Furio C. Rosatipresent its knowledge: as a global 3D grid of features and an array of view-specific 2D grids. We progressively exchange information between the two with a dedicated bidirectional attention mechanism. We exploit knowledge about the image formation process to significantly sparsify the attention weig
一骂死割除
发表于 2025-3-29 03:07:55
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断断续续
发表于 2025-3-29 08:47:34
Alain de Crombrugghe,Louis Geversource-consuming, and depending only on supervised learning limits the applicability of trained models. Self-supervised training strategies can alleviate these issues by learning a general point cloud backbone model for downstream 3D vision tasks. Against this backdrop, we show the relationship betwe
botany
发表于 2025-3-29 14:30:48
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废除
发表于 2025-3-29 19:31:42
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outskirts
发表于 2025-3-29 21:49:28
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carbohydrate
发表于 2025-3-30 00:16:31
L. V. Kantorovich,V. L. Makarov, existing efforts mainly focus on improving matching accuracy while ignoring its efficiency, which is crucial for real-world applications. In this paper, we propose an efficient structure named Efficient Correspondence Transformer (.) by finding correspondences in a coarse-to-fine manner, which sig
reaching
发表于 2025-3-30 07:04:02
https://doi.org/10.1007/978-3-031-20080-9Computer Science; Informatics; Conference Proceedings; Research; Applications