Promoting CNNs with Cross-Architecture Knowledge Distillation for Efficient Monocular Depth Estimation
Recently, the performance of monocular depth estimation (MDE) has been significantly boosted with the integration of transformer models. However, the transformer models are usually computationally-expensive, and their effectiveness in light-weight models are limited compared to convolutions. This li...
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