DOTA-v1.0
PulseAugur coverage of DOTA-v1.0 — every cluster mentioning DOTA-v1.0 across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New FGAA-FPN enhances oriented object detection in high-res imagery
Researchers have developed FGAA-FPN, a novel Feature Pyramid Network designed to improve oriented object detection in high-resolution imagery. This network incorporates a Foreground-Guided Feature Modulation module to e…
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New SSP framework enhances oriented object detection with single-point annotations
Researchers have developed a new framework called SSP for oriented object detection, which significantly reduces annotation costs by using single-point annotations. This method improves upon existing techniques by addre…
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New AI method adaptively combines CNN and ViT modules for object detection
Researchers have developed a novel method called BMCR (Backbone Module Composition via Reinforcement Learning) to improve object detection in remote sensing imagery. This approach adaptively combines modules from both C…