Abstract: Accurate oriented object detection in aerial imagery is crucial for remote sensing applications, yet remains challenging due to arbitrary orientations, extreme aspect ratios, and dense ...
Abstract: Oriented object detection is a challenging and relatively new problem. Most existing approaches are based on deep learning and explore Oriented Bounding Boxes (OBBs) to represent the objects ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results