AI Research
Do Pretrained Backbones Transfer to Physical Sensors? A Systematic Study of Multimodal Initialization Across the Sensor Stack
A systematic study examines pretrained weights and in-domain initialization for multi-sensor vision
Transfer learning from pretrained backbones has become standard practice in multi-sensor computer vision---yet two questions remain open: which pretrained weights transfer best to multi-sensor setups, and can in-domain pretraining outperform off-the-shelf solutions?
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ArXiv CS.CV
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2 min
ArXiv CS.CV
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Generated insight by OnAirToday AI
Pretrained backbones are widely used in multi-sensor computer vision, but their suitability across different sensors remains uncertain. Comparing off-the-shelf weights with in-domain pretraining could help clarify how to initialize models for these setups.
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