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So many negative samples in the classification will affect the detection accuracy.
For the training phase we randomly choose 5000 windows and initially provide as many negative samples generated from parts of the images containing no windows.
Using the conventional deep convolution network based on region proposal for detection, there are many negative samples in the generated region proposal, which will affect the model detection precision and efficiency.
We included twice as many negative samples as positive samples in the training sets as that gave the best results.
In terms of MicroPred, more simulated positive samples have to be generated because there are so many negative samples, which also introduced more noisy data.
Similar(55)
The high percentage of culture negative samples was reported in many studies in Egypt.
There are many ways to spatially divide the search region to select the negative samples, and we just use a simple way.
When amplifying merozoite-protein related genes, many negative results in the amplification step were obtained and these occurred mostly in samples from asymptomatic infections.
Many negative factors persisted between those dips.
So why so many negative comments?
There are so many negative unknowns".
More suggestions(15)
many negative aspects
many negative terms
many negative plays
many negative effects
many negative things
many free samples
many negative moments
many negative stereotypes
many negative factors
many biological samples
many negative outcomes
many negative divisions
many negative emotions
many negative unknowns
many negative studies
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