Training a frozen DINOv2 backbone with a shared decoder on auxiliary multi-label dense classification improves monocular depth accuracy by about 11 percent on in-domain benchmarks.
Vision transformer adapters for generalizable multi- task learning
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Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
Training a frozen DINOv2 backbone with a shared decoder on auxiliary multi-label dense classification improves monocular depth accuracy by about 11 percent on in-domain benchmarks.