Convolutional Neural Networks

MultiGrain

Introduced by Berman et al. in MultiGrain: a unified image embedding for classes and instances

MultiGrain is a type of image model that learns a single embedding for classes, instances and copies. In other words, it is a convolutional neural network that is suitable for both image classification and instance retrieval. We learn MultiGrain by jointly training an image embedding for multiple tasks. The resulting representation is compact and can outperform narrowly-trained embeddings. The learned embedding output incorporates different levels of granularity.

Source: MultiGrain: a unified image embedding for classes and instances

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
General Classification 1 33.33%
Image Classification 1 33.33%
Image Retrieval 1 33.33%

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