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Karlsruhe Institute of Technology
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Panoramic vision-language models can achieve a level of holistic scene understanding and robustness in adverse conditions that's impossible for traditional pinhole-based VLMs.
You can now get SOTA street-view image classification from CLIP with a tiny 1.4M parameter adapter that focuses on local image patches.
