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IEEE/ICACT20240217 Slide.11
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we evaluate our method with three datasets for image classification benchmark. Also, we employ real-world corruptions to CIFAR10 to evaluate the TCPs in real-world scenarios. Different sizes of models are adopted. Table 1 represents details about our evaluation setups. The experiment IDs F to H represents CIFAR10 with real-world corruptions, while the trained model is same with the experiment IDs B to D. | |
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