Getting a better visual: RepPoints detect objects with greater accuracy through flexible and adaptive object modeling
How much verified proof exists for this claim
One strong evidence source: microsoft gifact
How intriguing or unexplained this claim is
The claim about RepPoints improving object detection accuracy through adaptive modeling is well-documented within the field of deep learning and computer vision, with clear facts and mainstream coverage in academic and technical communities.
Visual understanding tasks are typically centered on objects, such as human pose tracking in Microsoft Kinect and obstacle avoidance in autonomous driving. In the deep learning era, these tasks follow a paradigm where bounding boxes are localized in an image, features are extracted within the bounding boxes, and object recognition and reasoning are performed based […] The post Getting a better visual: RepPoints detect objects with greater accuracy through flexible and adaptive object modeling...