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Keyword: social media images ×Clear all

1 claim from 1 paper

1. Computer Science › Domain Adaptation and Few-Shot Learning

   Exploring the Limits of Weakly Supervised Pretraining

   Mahajan, Girshick, Ramanathan et al. · Lecture notes in computer science · 2018

   The paper studies transfer learning with large convolutional networks trained to predict hashtags on billions of social media images, and reports gains on classification and object detection tasks.

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   1. UncheckedPretraining on hashtags from billions of social media images improved several vision tasks and gave the paper's reported best ImageNet-1k accuracy: 85.4% top-1.“We show improvements on several image classification and object detection tasks, and report the highest ImageNet-1k single-crop, top-1 accuracy to date: 85.4% (97.6% top-5).”