诱使 发表于 2025-3-27 00:42:44
http://reply.papertrans.cn/24/2343/234240/234240_31.png衣服 发表于 2025-3-27 03:54:49
Mitigating Dataset Imbalance via Joint Generation and Classificationing additional training examples. We show that the combined training helps to improve the robustness of both the classifier and the GAN against severe class imbalance. We show the effectiveness of our proposed approach on three very different datasets with different degrees of imbalance in them. The code is available at ..sclera 发表于 2025-3-27 06:54:36
Patch-Based CNN Evaluation for Bark Classificationcur in the voting process, we investigate various tie-breaking strategies from ensemble-based classifiers. Our study outperforms the classification accuracy achieved by traditional methods applied to Bark-101, thus demonstrating the feasibility of applying patch-based CNNs to such challenging datasets.肉身 发表于 2025-3-27 11:02:19
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http://reply.papertrans.cn/24/2343/234240/234240_36.png思考而得 发表于 2025-3-28 00:07:03
http://reply.papertrans.cn/24/2343/234240/234240_37.png听觉 发表于 2025-3-28 04:10:23
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Assessing Box Merging Strategies and Uncertainty Estimation Methods in Multimodel Object Detectionncertainty of the predictions have a significant influence on the quality of the ensembling outcome. Since mAP does not reward uncertainty estimates, such improvements were only noticeable on the resulting PDQ scores.