Preprint2025
SigLIP 2
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SigLIP 2 improves multilingual vision-language encoders with captioning pretraining, self-supervised losses, and online data curation, offering native aspect ratio preservation.
0Feb 1, 2025Computer Vision
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SigLIP 2 improves multilingual vision-language encoders with captioning pretraining, self-supervised losses, and online data curation, offering native aspect ratio preservation.
Unknown
SigLip introduces a pairwise sigmoid loss for language-image pre-training, enabling larger batch sizes and better performance at smaller batch sizes without global normalization.
Neha Yadav, S. Pande, A. Ranjith kumar
Combines SigLIP vision model and Gemma language model following PaLI-3 recipe for strong vision-language task performance.