question about the superpixel segmentation
colorfuloranges opened this issue · comments
Thanks for your sharing! It's very helpful to my research. I have a question about the code. The JPSA is a two-stream multilayered regression model involving the two input sources: 1) pixelwise and 2) superpixelwise spectral signatures and the same output(ground truth). But l do not see the input of the supempixel segmentation part and the superpixel segmentation of images in the code. l dont know if l understand the meaning of the paper correctly?Looking forward to your reply, thank you!
Thank you very much for your reply. If I want to reproduce this algorithm, can the average spectral features extracted after superpixel be directly concatenated after pixel-level spectral features for input?
Thank you for your encouragement. I'll try it. Thank you very much!