Adding nearest-neighbor and cross nearest-neighbor supervision from frozen pretrained unimodal encoders to the CLIP loss improves lightweight vision-language models on zero-shot and retrieval benchmarks.
Vlmo: Unified vision-language pre-training with mixture-of-modality-experts,
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CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance
Adding nearest-neighbor and cross nearest-neighbor supervision from frozen pretrained unimodal encoders to the CLIP loss improves lightweight vision-language models on zero-shot and retrieval benchmarks.