Comments (3)
hellbell
commented on July 28, 2024
The question arises here. For example, if there are no objects in an image that is cropped at random locations, label noise may be generated, which may adversely affect performance.
Why does this not adversely affect performance?
In general, when a cropped image has no object at all, the mixing ratio (lambda) will be very small, so it would work as a label noise effect. Also, even though the cropped image doesn't have any object, it has some contexts to classify its class (e.g., a water patch for sea turtle category), and thus we guess this context information boosts classification accuracy.
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seominseok0429
commented on July 28, 2024
친절한 답변 정말 감사합니다!
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hellbell
commented on July 28, 2024
@seominseok0429 Thanks :) Closing this issue.
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