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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3107281
Abstract: In recent years, deep learning methods have achieved great success for vehicle detection tasks in aerial imagery. However, most existing methods focus only on extracting latent vehicle target features, and rarely consider the scene context…
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Keywords:
network;
detection;
scene context;
vehicle ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3357706
Abstract: With the continuous advancement of remote sensing observation technology, wide-area observation, and high-resolution imaging make remote sensing images contain a large number of dense tiny objects. The detection of dense tiny objects is a very…
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Keywords:
detection;
scene;
scene context;
dense tiny ... See more keywords
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Published in 2025 at "Current Directions in Psychological Science"
DOI: 10.1177/09637214241304349
Abstract: Humans are highly efficient in finding objects in their structured, daily-life environments. Behavioral studies have demonstrated that this efficiency is supported by expectations derived from scene context. Here, I review neuroimaging studies that have started…
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Keywords:
visual search;
scene;
scene context;
neural basis ... See more keywords
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Published in 2024 at "Neurocomputing"
DOI: 10.48550/arxiv.2408.03612
Abstract: Video action detection (VAD) is a formidable vision task that involves the localization and classification of actions within the spatial and temporal dimensions of a video clip. Among the myriad VAD architectures, two-stage VAD methods…
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Keywords:
semantics;
scene;
scene context;
actor ... See more keywords