ILSVRC

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ILSVRC

The ImageNet Large Scale Visual Recognition Challenge evaluates algorithms for object detection and image classification at large scale. It is the most popular academic challenge in computer vision. Over the past years, Deep Learning techniques have led to a significant reduction in error rates, from 30% to less than 5%, beating human performance on several classification tasks. Inception Module Inception Modules are used in Convolutional Neural Networks to allow for more efficient computation and deeper Networks trough a dimensionality reduction with stacked 1×1 convolutions. • Going Deeper with Convolutions