fastness
发表于 2025-3-25 06:46:19
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iodides
发表于 2025-3-25 08:25:11
DAVE: A Unified Framework for Fast Vehicle Detection and Annotationchieve efficient vehicle detection and annotation for real-world traffic surveillance data. We evaluate DAVE on a new self-collected UTS dataset and the public PASCAL VOC2007 car and LISA 2010 datasets, with consistent improvements over existing algorithms.
Licentious
发表于 2025-3-25 15:12:14
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fallible
发表于 2025-3-25 16:59:45
Modeling Context in Referring Expressionshe language generation process together, so that we generate expressions for all objects of a particular category jointly. Evaluation on three recent datasets - RefCOCO, RefCOCO+, and RefCOCOg (Datasets and toolbox can be downloaded from .), shows the advantages of our methods for both referring expression generation and comprehension.
carotid-bruit
发表于 2025-3-25 22:09:54
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品尝你的人
发表于 2025-3-26 01:33:02
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LUDE
发表于 2025-3-26 07:08:39
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Seminar
发表于 2025-3-26 11:39:23
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凶残
发表于 2025-3-26 14:01:58
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新陈代谢
发表于 2025-3-26 20:44:47
https://doi.org/10.1057/978-1-137-46839-0sed of hazy images and corresponding transmission maps based on the NYU Depth dataset. Extensive experiments demonstrate that the proposed algorithm performs favorably against the state-of-the-art methods on both synthetic and real-world images in terms of quality and speed.