6 citations · 12 across the 3 of their papers we have counts for
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cs.CV2018★ 1 cited
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling
Eric Dodds, Huy Nguyen, Simao Herdade +3
In this paper, we propose learning an embedding function for content-based image retrieval within the e-commerce domain using the triplet loss and an online sampling method that co…
cs.CV2018
VISER: Visual Self-Regularization
Hamid Izadinia, Pierre Garrigues
In this work, we propose the use of large set of unlabeled images as a source of regularization data for learning robust visual representation. Given a visual model trained by a la…
cs.CV2016★ 6 cited
Tag Prediction at Flickr: a View from the Darkroom
Kofi Boakye, Sachin Farfade, Hamid Izadinia +2
Automated photo tagging has established itself as one of the most compelling applications of deep learning. While deep convolutional neural networks have repeatedly demonstrated to…