RGB Salient Object Detection

86 papers with code • 11 benchmarks • 12 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 )

Greatest papers with code

Res2Net: A New Multi-scale Backbone Architecture

rwightman/pytorch-image-models 2 Apr 2019

We evaluate the Res2Net block on all these models and demonstrate consistent performance gains over baseline models on widely-used datasets, e. g., CIFAR-100 and ImageNet.

Image Classification Instance Segmentation +2

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

NathanUA/U-2-Net 18 May 2020

In this paper, we design a simple yet powerful deep network architecture, U$^2$-Net, for salient object detection (SOD).

Image Classification RGB Salient Object Detection +2

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.

Camouflaged Object Segmentation RGB Salient Object Detection +3

A Simple Pooling-Based Design for Real-Time Salient Object Detection

backseason/PoolNet CVPR 2019

We further design a feature aggregation module (FAM) to make the coarse-level semantic information well fused with the fine-level features from the top-down pathway.

RGB Salient Object Detection Salient Object Detection

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

wenguanwang/SODsurvey 19 Apr 2019

As an essential problem in computer vision, salient object detection (SOD) has attracted an increasing amount of research attention over the years.

RGB Salient Object Detection Saliency Prediction +1

EGNet: Edge Guidance Network for Salient Object Detection

JXingZhao/EGNet ICCV 2019

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

Camouflaged Object Segmentation Co-Salient Object Detection +1

Deeply supervised salient object detection with short connections

Andrew-Qibin/DSS CVPR 2017

Recent progress on saliency detection is substantial, benefiting mostly from the explosive development of Convolutional Neural Networks (CNNs).

Boundary Detection RGB Salient Object Detection +3

Highly Efficient Salient Object Detection with 100K Parameters

ShangHua-Gao/SOD100K ECCV 2020

Salient object detection models often demand a considerable amount of computation cost to make precise prediction for each pixel, making them hardly applicable on low-power devices.

RGB Salient Object Detection Salient Object Detection

Multi-scale Interactive Network for Salient Object Detection

lartpang/MINet CVPR 2020

To obtain more efficient multi-scale features from the integrated features, the self-interaction modules are embedded in each decoder unit.

RGB Salient Object Detection Salient Object Detection