Towards Calibrated Multi-Label Deep Neural Networks
Jiacheng Cheng, Nuno Vasconcelos
2024年份
2顶会引用
摘要
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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