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.

Res2Net: A New Multi-scale Backbone Architecture

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.

14,980

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

18 May 2020

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

5,107

BASNet: Boundary-Aware Salient Object Detection

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

1,094

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

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.

524

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

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.

339

EGNet: Edge Guidance Network for Salient Object Detection

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

250

Cascaded Partial Decoder for Fast and Accurate Salient Object Detection

In this paper, we propose a novel Cascaded Partial Decoder (CPD) framework for fast and accurate salient object detection.

236

Deeply supervised salient object detection with short connections

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

230

Highly Efficient Salient Object Detection with 100K Parameters

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.

192

Multi-scale Interactive Network for Salient Object Detection

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

189