most citedDepth Estimation using Weighted-loss and Transfer Learning

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cs.LG2022

NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results

Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz +6

We present the design and baseline results for a new challenge in the ChaLearn meta-learning series, accepted at NeurIPS'22, focusing on "cross-domain" meta-learning. Meta-learning…