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Sik-Ho Tang. [Review — Motion Masks: Learning Features by Watching Objects Move](https://sh-tsang.medium.com/review-motion-masks-learning-features-by-watching-objects-move-548e7d955c2e).
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Thank you for your excellent work. Why multi-scale training strategy is disabled in your code. Multi-scale loss works very well in Monodepth2.
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Hi Lampros,
Is there any functionality for morphological operations on segments (e.g., area, length, etc.)? Or any compatibility with EBImage::computefeatures.shape on segment masks?
Thank you f…
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Thank you very much for your help.
I would like to use your program "atari_userhint_v2".
I would like to use your "atari_userhint_v2". You mentioned to prepare the color hint image extracted by supe…
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This module extracts segmentation features from RGB images
- Input:
- RGB image
- Output:
- Feature map
- [x] implement common interface for different feature extractors
- [x] Add support …
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## ❓ Questions & Help
Hi I am using enzymes_topk_pool(ETP) algorithm for Medical Image classification. I have created features out of Images and converted them into data format accepted by pytorchg d…
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Hi, Dr. Robert.
I met a problem when I customed my model based on your DeepViewAgg project again with the S3DIS dataset.
I add a customed classification label for each pixel in images, i.e., extend …
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Hi, thanks for your resource, It's really fantastic!
I am a noob about python. I have some question about atari_userhint_v2:
1. What are SketchKeras and superpixel?
2. I noticed you used [Tagged …
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I am using the new `chunks` option of `supercells()` on a somewhat large raster to overcome out of memory problems. I have found that after the function completes sucessfully, some of the chunks have …