gscnn

gscnn

Current state-of-the-art methods for image segmentation form a dense image representation where t...概要を表示 Current state-of-the-art methods for image segmentation form a dense image representation where the color, shape and texture information are all processed together inside a deep CNN. This however may not be ideal as they contain very different type of information relevant for recognition. We propose a new architecture that adds a shape stream to the classical CNN architecture. The two streams proc

• segmentation
• 機械学習