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Check out prior art (the notebooks give good examples):
- https://www.kaggle.com/hocop1/centernet-baseline
Predict Distances
- http://www.ic.unicamp.br/~dcarlos/UDLF/about.html
There are als…
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**Short Description**
Baseline models for end-to-end semantic segmentation of 3D LiDAR point clouds, specifically (but not limited to) the detection and categorization of instances of interest, suc…
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Related issues:
- #6
- #25
- #47
- #80
- #84
- #99
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Hello,
First of all, thank you for your amazing work ! I was currently studying your method as it seemed to correlate with some ideas that I had. I am able to replicate the training (and it smooth…
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[Unsupervised Open-Vocabulary Object Localization in Videos](http://openaccess.thecvf.com/content/ICCV2023/html/Fan_Unsupervised_Open-Vocabulary_Object_Localization_in_Videos_ICCV_2023_paper.html) fro…
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Hello, congrats on the release of your fantastic work. I love the fact that you can use language to prompt the segmentation, and we appreciate you citing and comparing against STEGO!
Wanted to qui…
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Hi @vasgaowei, thanks for meticulously maintaining this informative repository!
To further enhance the comprehensiveness of this repository, I would like to recommend the following papers under the…
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Please post here interesting papers, possibly with a brief description of technique and results (improvement).
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**Describe the solution you'd like**
It would be nice to have an option for self-training. Self-training is related to active learning but gets labels for queries based on its predictions instead of …