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Abstract: Currently, oriented object detection, as an emerging subfield within object detection, has garnered significant attention. Besides encompassing directional information, datasets of oriented ...
Abstract: In aerial scenes, oriented object detection is sensitive to the orientation of objects, which makes the formulation of orientation-aware object representation become a critical problem.
We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
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