Multi-object discovery
2 papers with code • 3 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Multi-object discovery
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MS COCO
PASCAL VOC
RF100
Most implemented papers
Toward unsupervised, multi-object discovery in large-scale image collections
This paper addresses the problem of discovering the objects present in a collection of images without any supervision.
Large-Scale Unsupervised Object Discovery
Extensive experiments on COCO and OpenImages show that, in the single-object discovery setting where a single prominent object is sought in each image, the proposed LOD (Large-scale Object Discovery) approach is on par with, or better than the state of the art for medium-scale datasets (up to 120K images), and over 37% better than the only other algorithms capable of scaling up to 1. 7M images.
