Distilling CLIP into EfficientNet-B3 with projection heads yields a 24.6 MB model that performs zero-shot labeling on driving scenes in real time on an edge camera.
Scaling up visual and vision-language representation learning with noisy text supervision
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Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation
Distilling CLIP into EfficientNet-B3 with projection heads yields a 24.6 MB model that performs zero-shot labeling on driving scenes in real time on an edge camera.