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
http://reply.papertrans.cn/24/2341/234013/234013_12.pngentrance 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. ToHarridan 发表于 2025-3-24 00:16:40
http://reply.papertrans.cn/24/2341/234013/234013_14.pngMIRTH 发表于 2025-3-24 02:57:59
http://reply.papertrans.cn/24/2341/234013/234013_15.png起来了 发表于 2025-3-24 07:37:08
http://reply.papertrans.cn/24/2341/234013/234013_16.pngMEET 发表于 2025-3-24 13:47:43
http://reply.papertrans.cn/24/2341/234013/234013_17.pngAwning 发表于 2025-3-24 15:44:17
http://reply.papertrans.cn/24/2341/234013/234013_18.png不愿 发表于 2025-3-24 20:35:12
http://reply.papertrans.cn/24/2341/234013/234013_19.pngCAGE 发表于 2025-3-25 02:53:56
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