Adaptive region-aware feature enhancement for object detection

•We verify the importance of position-sensitive features and the differences among feature levels in FPN and propose AR-FPN module to extract more distinguishable features for each level.•We propose AR-RFF module to aggregate complementary features from regions surrounding RoIs, making it sensitive to larger scale variations and introduce a weighted regression strategy.•We evaluate our method on MS COCO dataset through comprehensive experiments, and it brings consistent and substantial improvements upon various frameworks and backbone networks.