Questions tagged [image-net]
For questions related to ImageNet, a large visual database designed for use in visual object recognition software research.
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What is your training time of Resnet-18/Resnet-50 on Imagenet?
My training of Resnet-18 network on Imagenet using Tesla V100 seems to be quite slow (1 epoch is about 2,5 hours, batch 128). Increasing the number of GPUs does not seem to help.
What is your training ...
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Is the initial teacher model in the Noisy Student algorithm noised?
Reading through the paper on the Noisy Student algorithm, I have a quick question about how the initial teacher model is built.
In step 1 of the algorithm, the loss function is defined such that it ...
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Validity of ImageNet for measurement of the model performance
ImageNet dataset is an established benchmark for the measurement of the performance of CV models.
ImageNet involves 1000 categories and the goal of the classification model is to output the correct ...
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Does higher FLOPS mean higher throughput?
I understand that FLOPS means floating-point operations per second, and throughput is the number of inputs (for example, images) per second. If a model has higher FLOPS, it means it performs faster.
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Pretraining on ImageNet for YOLOv1
It is mentioned in the YOLOv1 paper that the authors pretrained their network on ImageNet with a resolution of (224,224), but while training for detection tasks, they use a resolution of (448,448). ...
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What is the exact output of the Inception ResNet V2's feature extraction layer?
I am working with the Inception ResNet V2 model, pre-trained with ImageNet, for face recognition.
However, I'm so confused about what the exact output of the feature extraction layer (i.e. the layer ...
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