Unsupervised Saliency Detection

5 papers with code • 3 benchmarks • 3 datasets

This task has no description! Would you like to contribute one?

Most implemented papers

Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features

anandhupvr/Mining-Objects 26 Feb 2019

To tackle this problem, we propose a simple but effective pattern mining-based method, called Object Location Mining (OLM), which exploits the advantages of data mining and feature representation of pre-trained convolutional neural networks (CNNs).

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut

YangtaoWANG95/TokenCut CVPR 2022

For unsupervised saliency detection, we improve IoU for 4. 9%, 5. 2%, 12. 9% on ECSSD, DUTS, DUT-OMRON respectively compared to previous state of the art.

Unsupervised Salient Object Detection with Spectral Cluster Voting

noelshin/selfmask 23 Mar 2022

In this paper, we tackle the challenging task of unsupervised salient object detection (SOD) by leveraging spectral clustering on self-supervised features.

MOVE: Unsupervised Movable Object Segmentation and Detection

adambielski/move-seg 14 Oct 2022

We introduce MOVE, a novel method to segment objects without any form of supervision.

Unsupervised Object Localization: Observing the Background to Discover Objects

valeoai/found CVPR 2023

This way, the salient objects emerge as a by-product without any strong assumption on what an object should be.