Oscillate 发表于 2025-3-23 13:23:15

A Novel Context-Aware Topic Model for Category Discovery in Natural Scenesariability in them. This paper proposes a novel context-aware topic model for category discovery in complex natural scenes. The proposed model constructs a generative probabilistic procedure from three-level features consisting of patch, region and the entire image by introducing latent topic variab

固定某物 发表于 2025-3-23 15:43:28

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entrance 发表于 2025-3-23 20:25:42

DisLocation: Scalable Descriptor Distinctiveness for Location Recognitions made difficult by plenty of non-distinctive features which commonly occur in imagery of urban environments, such as generic modern windows, doors, cars, trees, etc. The focus of this work is to adapt standard Hamming Embedding retrieval system to account for varying descriptor distinctiveness. To

Harridan 发表于 2025-3-24 00:16:40

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MIRTH 发表于 2025-3-24 02:57:59

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起来了 发表于 2025-3-24 07:37:08

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MEET 发表于 2025-3-24 13:47:43

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Awning 发表于 2025-3-24 15:44:17

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不愿 发表于 2025-3-24 20:35:12

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CAGE 发表于 2025-3-25 02:53:56

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查看完整版本: Titlebook: Computer Vision -- ACCV 2014; 12th Asian Conferenc Daniel Cremers,Ian Reid,Ming-Hsuan Yang Conference proceedings 2015 Springer Internation