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When Does Sharing Work? Scaling a Shared SigLIP2 Across Image, Video, Audio, and Audio-Visual Representations
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multimodaljoint trainingVision Transformercontrastive pretraining
2611.05406
Builder Relevance
2h ago80%
Abstract
Omni-Encoder is a multimodal encoder that jointly optimizes image, video, audio, and audio-visual inputs using a single set of shared parameters.
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Core Claim
Omni-Encoder achieves competitive results across 16 benchmarks for image, video, audio, and audio-visual tasks with a single shared parameter set, outperforming separately trained models.
Method / Result
Achieves competitive results on 16 benchmarks with one shared parameter set.
Limitations
The paper does not specify potential limitations or reproducibility concerns.
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