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I'm training deeplabv3+ with my own backbone network and I want to pretrain my models on MS-COCO dataset. the deeplab paper shows that pre-train models on coco dataset can much improve the results, b…
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Hi all, thanks for your great work. I'm a researcher at University of Florida studying deep learning for biological applications (this kind of stuff: https://deepforest.readthedocs.io/). I like the pa…
bw4sz updated
2 years ago
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Hi, thanks for your great work in combining contrastive learning and semi-supervised semantic segmentation!
I'm a littble bit confused about your code: https://github.com/lorenmt/reco/blob/main/bui…
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Hi, I'm a beginner in semantic segmentation, and thanks for your great work. It seems ST++ is the only method which select `reliable DT mask' for unlabeled images.
I'm interested in the `evaluation…
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# Purpose
This is my USGS review of dash_doodler. My background includes image processing and hydraulics. I have some ML background, but am not a domain expert by any means. This review reflects this…
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Hi! Thank you for your remarkable work!
I have a question about the data splits. In previous semi-supervised semantic segmentation papers, there are extremely few labeled data like 92 labeled image…
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I'm sorry to bother you. I see that your code works very well, so I want to try to run it. However, when I perform reco and perform semi supervision on 600 tags, the result is only 0.6719. Due to the …
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1. Which experiment id is suitable to train the semantic segmentation network using all the labels from cityscape ? (while using the monodepth pretrained model)
2. Is "leftImg8bit_sequence_small" d…
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Hello, thank for your insightful and ingenious work. After thorough reading, I have a simple question that why CPS(Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision) is not compared …