IKFD-Depth: Enhancing self-supervised monocular depth estimation with incremental knowledge distillation and feature decoupling self-distillation

Chaochao Yang; Yuanyao Lu; Yongsheng Qiu; Yuantao Wang

doi:10.1016/j.neucom.2025.130314

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IKFD-Depth: Enhancing self-supervised monocular depth estimation with incremental knowledge distillation and feature decoupling self-distillation

Chaochao Yang Yuanyao Lu Yongsheng Qiu Yuantao Wang

Year: 2025 Journal: Neurocomputing Vol: 640 Pages: 130314-130314 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2025.130314

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Keywords:

Decoupling (probability) Distillation Computer science Monocular Artificial intelligence Feature (linguistics) Batch distillation Pattern recognition (psychology) Process engineering Fractional distillation Computer vision Biological system Chromatography Chemistry Control engineering Engineering Biology

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Optical measurement and interference techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

IKFD-Depth: Enhancing self-supervised monocular depth estimation with incremental knowledge distillation and feature decoupling self-distillation

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