Classification with two input images using transfer learning
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I have a 3-class classification problem. However, the classification is based on two images rather than the typical one image. How can I use/modify transfer learning models, or otherwise build a model from scratch, that accepts two images as input concurrently.
5 个评论
Image Analyst
2022-3-12
Not sure what you mean. Attach some images to explain. Maybe you can just stitch the images together to form one single image and train with those. Or else you can use SegNet or U-net to do a pixel-by-pixel classification of things in the images.
Mohammad Fraiwan
2022-3-12
Mohammad Fraiwan
2022-3-12
Image Analyst
2022-3-12
See these links on panoramic stitching to build a single image from all your subimages:
Mohammad Fraiwan
2022-3-12
回答（1 个）
yanqi liu
2022-3-14
0 个投票
yes，sir，may be use image fuse or image mosaic to make two image into one，and then use cnn as normal
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