RGB Salient Object Detection

97 papers with code • 13 benchmarks • 17 datasets

RGB Salient object detection is a task-based on a visual attention mechanism, in which algorithms aim to explore objects or regions more attentive than the surrounding areas on the scene or RGB images.

( Image credit: Attentive Feedback Network for Boundary-Aware Salient Object Detection )

Libraries

Use these libraries to find RGB Salient Object Detection models and implementations

Most implemented papers

BASNet: Boundary-Aware Salient Object Detection

NathanUA/BASNet CVPR 2019

In this paper, we propose a predict-refine architecture, BASNet, and a new hybrid loss for Boundary-Aware Salient object detection.

EGNet:Edge Guidance Network for Salient Object Detection

MindSpore-MS-Code2/code0 22 Aug 2019

In the second step, we integrate the local edge information and global location information to obtain the salient edge features.

CAGNet: Content-Aware Guidance for Salient Object Detection

Mehrdad-Noori/Saliency-Evaluation-Toolbox 29 Nov 2019

Beneficial from Fully Convolutional Neural Networks (FCNs), saliency detection methods have achieved promising results.

Suppress and Balance: A Simple Gated Network for Salient Object Detection

Xiaoqi-Zhao-DLUT/GateNet-RGB-Saliency ECCV 2020

With the help of multilevel gate units, the valuable context information from the encoder can be optimally transmitted to the decoder.

A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels

rmcong/Hybrid-Label-SOD_TCSVT2022 7 Sep 2022

In this paper, we focus on a new weakly-supervised SOD task under hybrid labels, where the supervision labels include a large number of coarse labels generated by the traditional unsupervised method and a small number of real labels.

Inner and Inter Label Propagation: Salient Object Detection in the Wild

hli2020/lps_tip15 27 May 2015

For most natural images, some boundary superpixels serve as the background labels and the saliency of other superpixels are determined by ranking their similarities to the boundary labels based on an inner propagation scheme.

Non-Local Deep Features for Salient Object Detection

zhimingluo/NLDF CVPR 2017

Saliency detection aims to highlight the most relevant objects in an image.

PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

nian-liu/PiCANet CVPR 2018

We formulate the proposed PiCANet in both global and local forms to attend to global and local contexts, respectively.

PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection

ChunbiaoZhu/PDNet 23 Mar 2018

One is the lack of tremendous amount of annotated data to train a network.

Hyperspectral Image Dataset for Benchmarking on Salient Object Detection

gistairc/HS-SOD 29 Jun 2018

Many works have been done on salient object detection using supervised or unsupervised approaches on colour images.