Author | Lightnews

reqo.bsky.social @reqo.bsky.social · Apr 3

This approach enables input-specific model construction without additional training and offers scalable, interpretable, and privacy-preserving adaptation.

reqo.bsky.social @reqo.bsky.social · Apr 3

SemLA dynamically computes a weighted average over LoRA-based adapters from the most relevant source domains, where weights are determined by the semantic similarity between each source domain and the target input, as measured in the CLIP embedding space.

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reqo.bsky.social @reqo.bsky.social · Apr 3

We propose Semantic Library Adaptation (SemLA), a training-free method for test-time domain adaptation in open-vocabulary semantic segmentation.

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reqo.bsky.social @reqo.bsky.social · Apr 3

Our paper, ”Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation”, has been accepted to #CVPR 2025.

📄 Paper: arxiv.org/abs/2503.21780
🧪 Code: github.com/rezaqorbani/...

Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation

Open-vocabulary semantic segmentation models associate vision and text to label pixels from an undefined set of classes using textual queries, providing versatile performance on novel datasets. Howeve...

arxiv.org

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Reposted

Daniel Cremers @dcremers.bsky.social · Mar 13

We are thrilled to have 12 papers accepted to #CVPR2025. Thanks to all our students and collaborators for this great achievement!
For more details check out cvg.cit.tum.de

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reqo.bsky.social @reqo.bsky.social · Feb 28

This is great, thank you for sharing!

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Reposted

Kosta Derpanis @csprofkgd.bsky.social · Feb 9

Please reshare this message widely!

nealwadhwa.bsky.social @nealwadhwa.bsky.social · Feb 9

With the CVPR 2025 rebuttal deadline over, it’s the perfect time to submit a demo application for CVPR 2025. Demos can be any application of computer vision in the real world and are a great way to show off your work to other #computervision enthusiasts. Submit here docs.google.com/forms/d/e/1F...

CVPR 2025 Demo Submission

Submission page for the Demo Track at CVPR 2025. Read the call for demos on the CVPR Website.

docs.google.com

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