Semantic Segmentation by a CNN Weakly-Supervised with Bounding Boxes

Abstract

Combining CNNs for object detection and semantic segmentation is effective for a scale-aware bird detection. However, a CNN for semantic segmentation requires many images with pixel-level annotation during training. We propose to train the CNN from images with bounding boxes and compare our method to the strongly-supervised counterpart.