Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies

11/04/2021
by   Bowen Deng, et al.
5

Salient object detection plays an important role in many downstream tasks. However, complex real-world scenes with varying scales and numbers of salient objects still pose a challenge. In this paper, we directly address the problem of detecting multiple salient objects across complex scenes. We propose a network architecture incorporating non-local feature information in both the spatial and channel spaces, capturing the long-range dependencies between separate objects. Traditional bottom-up and non-local features are combined with edge features within a feature fusion gate that progressively refines the salient object prediction in the decoder. We show that our approach accurately locates multiple salient regions even in complex scenarios. To demonstrate the efficacy of our approach to the multiple salient objects problem, we curate a new dataset containing only multiple salient objects. Our experiments demonstrate the proposed method presents state-of-the-art results on five widely used datasets without any pre-processing and post-processing. We obtain a further performance improvement against competing techniques on our multi-objects dataset. The dataset and source code are avaliable at: https://github.com/EricDengbowen/DSLRDNet.

READ FULL TEXT

page 1

page 3

page 5

page 8

research
08/22/2019

EGNet:Edge Guidance Network for Salient Object Detection

Fully convolutional neural networks (FCNs) have shown their advantages i...
research
11/25/2020

Unsupervised Object Keypoint Learning using Local Spatial Predictability

We propose PermaKey, a novel approach to representation learning based o...
research
03/14/2023

Co-Salient Object Detection with Co-Representation Purification

Co-salient object detection (Co-SOD) aims at discovering the common obje...
research
08/07/2019

Edge-guided Non-local Fully Convolutional Network for Salient Object Detection

Fully Convolutional Neural Network (FCN) has been widely applied to sali...
research
04/05/2021

Few-Cost Salient Object Detection with Adversarial-Paced Learning

Detecting and segmenting salient objects from given image scenes has rec...
research
07/17/2020

Multi-scale Interactive Network for Salient Object Detection

Deep-learning based salient object detection methods achieve great progr...
research
04/11/2023

CamDiff: Camouflage Image Augmentation via Diffusion Model

The burgeoning field of camouflaged object detection (COD) seeks to iden...

Please sign up or login with your details

Forgot password? Click here to reset