2 papers
cs.AI2024
Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation
Qitian Ma, Shyam Nanda Rai, Carlo Masone +1
In the domain of computer vision, semantic segmentation emerges as a fundamental application within machine learning, wherein individual pixels of an image are classified into dist…
cs.CV2020
Decoupled Self Attention for Accurate One Stage Object Detection
Kehe WU, Zuge Chen, Qi MA +2
As the scale of object detection dataset is smaller than that of image recognition dataset ImageNet, transfer learning has become a basic training method for deep learning object d…