Results 41 to 50 of about 622,575 (227)
SegGPT Meets Co-Saliency Scene [PDF]
arXiv, 2023 Co-salient object detection targets at detecting co-existed salient objects among a group of images. Recently, a generalist model for segmenting everything in context, called SegGPT, is gaining public attention. In view of its breakthrough for segmentation, we can hardly wait to probe into its contribution to the task of co-salient object detection. In
arxiv
Salient Object Detection for Images Taken by People With Vision Impairments [PDF]
arXiv, 2023 Salient object detection is the task of producing a binary mask for an image that deciphers which pixels belong to the foreground object versus background. We introduce a new salient object detection dataset using images taken by people who are visually impaired who were seeking to better understand their surroundings, which we call VizWiz ...
arxiv
Scribble-Supervised RGB-T Salient Object Detection [PDF]
IEEE International Conference on Multimedia and Expo, 2023 Salient object detection segments attractive objects in scenes. RGB and thermal modalities provide complementary information and scribble annotations alleviate large amounts of human labor. Based on the above facts, we propose a scribble-supervised RGB-T
Zhengyi Liu +5 more
semanticscholar +1 more source
Salient Object Detection: Integrate Salient Features in the Deep Learning Framework
IEEE Access, 2019 Salient object detection in complex environments brings the challenge from the collections of large number of training images for deep learning algorithm.
Qixin Chen +4 more
doaj +1 more source
Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies [PDF]
arXiv, 2021 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.
arxiv
Pyramid Spatial Context Features for Salient Object Detection
IEEE Access, 2020 Salient object detection aims to obtain the most attractive objects from the input images, which severs as a pre-processing step for many image processing tasks.
Hui Li
doaj +1 more source
Dual-Branch Feature Fusion Network for Salient Object Detection
Photonics, 2022 Proper features matter for salient object detection. Existing methods mainly focus on designing a sophisticated structure to incorporate multi-level features and filter out cluttered features.
Zhehan Song +4 more
doaj +1 more source
Salient Object Detection via Fusion of Multi-Visual Perception
Applied SciencesSalient object detection aims to distinguish the most visually conspicuous regions, playing an important role in computer vision tasks. However, complex natural scenarios can challenge salient object detection, hindering accurate extraction of objects ...
Wenjun Zhou +6 more
doaj +1 more source
SODU2-NET: a novel deep learning-based approach for salient object detection utilizing U-NET [PDF]
PeerJ Computer ScienceDetecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision.
Hyder Abbas +4 more
doaj +2 more sources
Salient Object Detection and Segmentation via Ultra-Contrast
IEEE Access, 2018 Salient object detection aims at finding the most conspicuous objects in an image that highly catches the user’s attention. The traditional contrast based salient object detection algorithms focus on highlighting the most dissimilar regions and ...
Liangzhi Tang +5 more
doaj +1 more source