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IEEE/ICACT20240217 Slide.17        [Big Slide]	Oral Presentation
	Above figure shows the samples based on different priority, ordered by the proposed ZSNC. Samples with high priority tend to exhibit hard conditions such as indistinct differentiation from the background, low lighting conditions, or misalignment of objects. On the other hand, samples present easier conditions such as clear distinction between the background and the object, distinctive characteristics of prediction class, such as animal faces.

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