What I learned from competing against a ConvNet on ImageNet

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2024-06-08 14:30:05

The results of the 2014 ImageNet Large Scale Visual Recognition Challenge (ILSVRC) were published a few days ago. The New York Times wrote about it too. ILSVRC is one of the largest challenges in Computer Vision and every year teams compete to claim the state-of-the-art performance on the dataset. The challenge is based on a subset of the ImageNet dataset that was first collected by Deng et al. 2009, and has been organized by our lab here at Stanford since 2010. This year, the challenge saw record participation with 50% more participants than last year, and records were shattered with staggering improvements in both classification and detection tasks.

(My personal) ILSVRC 2014 TLDR: 50% more teams. 50% improved classification and detection. ConvNet ensembles all over the place. Google team wins.

Of course there’s much more to it, and all details and takeaways will be discussed at length in Zurich, at the upcoming ECCV 2014 workshop happening on September 12.