Adaptive Feature Pyramid Network to Predict Crisp Boundaries via NMS Layer and ODS F-Measure Loss Function
Edge detection is one of the fundamental computer vision tasks.Recent methods for edge detection based on a convolutional neural network (CNN) typically employ the weighted cross-entropy loss.Their predicted results being thick and needing post-processing before calculating the optimal dataset scale (ODS) F-measure for evaluation.To achieve end-to-