Open colorfuloranges opened 2 years ago
The code is its previous version (pixel-wise version, i.e., ECCV2018)
colorfuloranges @.***> 于2022年8月1日周一 16:14写道:
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!
— Reply to this email directly, view it on GitHub https://github.com/danfenghong/ECCV2018_J-Play/issues/2, or unsubscribe https://github.com/notifications/unsubscribe-auth/AFL2GZUVH7VNVQETITSOSZTVW6BP3ANCNFSM55GUEJEQ . You are receiving this because you are subscribed to this thread.Message ID: @.***>
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?
yes, your idea is promising and working well, I think. You can try it, if it works well, please also let me know at your convenience! Thanks! Danfeng
colorfuloranges @.***> 于2022年8月1日周一 19:40写道:
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?
— Reply to this email directly, view it on GitHub https://github.com/danfenghong/ECCV2018_J-Play/issues/2#issuecomment-1201088575, or unsubscribe https://github.com/notifications/unsubscribe-auth/AFL2GZV4IV6ICU564VGOMYLVW6ZUDANCNFSM55GUEJEQ . You are receiving this because you commented.Message ID: @.***>
Thank you for your encouragement. I'll try it. Thank you very much!
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!