IEEE

Rotated R-CNN: A Two-Stage Object Detection Method Adapted To Oriented Bounding Boxes

Abstract: Currently, oriented object detection, as an emerging subfield within object detection, has garnered significant attention. Besides encompassing directional information, datasets of oriented ...
IEEE

Probabilistic Intersection-Over-Union for Training and Evaluation of Oriented Object Detectors

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 ...
GitHub

Cut and Learn for Unsupervised Image & Video Object Detection and Instance Segmentation

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 ...