AACSNet: an angle-aware feature alignment and cross-level synergy framework for oriented object detection in remote sensing imagery
Abstract. Oriented object detection in remote sensing images remains challenging due to arbitrary object orientations, large-scale variations, and dense object arrangements. Feature orientation misalignment and insufficient adaptability of multi-scale feature representations to per-image scale distributions remain two...