Towards Calibrated Multi-Label Deep Neural Networks
Jiacheng Cheng, Nuno Vasconcelos
2024Year
2Top-tier citations
Abstract
Ours Figure 1. Left: Reliability diagram (calibration curve) of multi-label DNNs trained with the asymmetric focal loss [40], ASY loss [61] , and our proposed loss. Right: corresponding retrieval results on the multi-label retrieval task, where the user specifies a query string of desired labels P and undesired labels N . Correct retrieval results are highlighted in green. Improved calibration substantially improves retrieval performance.
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Install the CLIlune papers fulltext a44c7058-7a56-4298-b9dd-9eeeef9ec044Cited by top-tier papers2
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