允许 发表于 2025-3-30 11:32:11
http://reply.papertrans.cn/24/2342/234173/234173_51.pngcalumniate 发表于 2025-3-30 14:47:19
Visual Motif Discovery via First-Person Visionnd that of a familiar social situation such as when interacting with a clerk at a store. The goal of this study is to discover visual motifs from a collection of first-person videos recorded by a wearable camera. To achieve this goal, we develop a commonality clustering method that leverages three iAMBI 发表于 2025-3-30 17:51:34
http://reply.papertrans.cn/24/2342/234173/234173_53.pngassail 发表于 2025-3-30 23:22:59
Fundamental Matrices from Moving Objects Using Line Motion Barcodesd it is difficult to find corresponding feature points. Prior methods searched for corresponding epipolar lines using points on the convex hull of the silhouette of a single moving object. These methods fail when the scene includes multiple moving objects. This paper extends previous work to scenesAMOR 发表于 2025-3-31 04:26:38
http://reply.papertrans.cn/24/2342/234173/234173_55.png整理 发表于 2025-3-31 08:05:04
http://reply.papertrans.cn/24/2342/234173/234173_56.pngFORGO 发表于 2025-3-31 12:23:54
Leveraging Visual Question Answering for Image-Caption Rankingcurate answer. In this work we view VQA as a “feature extraction” module to extract image and caption representations. We employ these representations for the task of image-caption ranking. Each feature dimension captures (imagines) whether a fact (question-answer pair) could plausibly be true for t外面 发表于 2025-3-31 16:19:47
DAVE: A Unified Framework for Fast Vehicle Detection and Annotationn this paper, we present a fast framework of Detection and Annotation for Vehicles (DAVE), which effectively combines vehicle detection and attributes annotation. DAVE consists of two convolutional neural networks (CNNs): a fast vehicle proposal network (FVPN) for vehicle-like objects extraction and绝缘 发表于 2025-3-31 20:19:44
http://reply.papertrans.cn/24/2342/234173/234173_59.pngLament 发表于 2025-3-31 21:52:01
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