Salient Object Detection
235 papers with code • 6 benchmarks • 16 datasets
Benchmarks
These leaderboards are used to track progress in Salient Object Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
Libraries
Use these libraries to find Salient Object Detection models and implementations
PASCAL-S
DUTS
HKU-IS
DUT-OMRON
ECSSD
SOC
VT5000
HRSOD
EORSSD
Latest papers with no code
Salient Object Detection From Arbitrary Modalities
The most prominent characteristics of AM SOD are that the modality types and modality numbers will be arbitrary or dynamically changed.
Modality Prompts for Arbitrary Modality Salient Object Detection
A novel modality-adaptive Transformer (MAT) will be proposed to investigate two fundamental challenges of AM SOD, ie more diverse modality discrepancies caused by varying modality types that need to be processed, and dynamic fusion design caused by an uncertain number of modalities present in the inputs of multimodal fusion strategy.
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection
Salient object detection (SOD) remains an important task in computer vision, with applications ranging from image segmentation to autonomous driving.
External Prompt Features Enhanced Parameter-efficient Fine-tuning for Salient Object Detection
To better harness the potential of transformers for SOD, we propose a novel parameter-efficient fine-tuning method aimed at reducing the number of training parameters while enhancing the salient object detection capability.
Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation
This paper presents a fresh perspective on the role of saliency maps in weakly-supervised semantic segmentation (WSSS) and offers new insights and research directions based on our empirical findings.
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection
In this paper, we propose a novel robustness enhancement framework by first learning the concept of the co-salient objects based on the input group images and then leveraging this concept to purify adversarial perturbations, which are subsequently fed to CoSODs for robustness enhancement.
CSDNet: Detect Salient Object in Depth-Thermal via A Lightweight Cross Shallow and Deep Perception Network
While we enjoy the richness and informativeness of multimodal data, it also introduces interference and redundancy of information.
Reframe Anything: LLM Agent for Open World Video Reframing
The proliferation of mobile devices and social media has revolutionized content dissemination, with short-form video becoming increasingly prevalent.
A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection
Camouflaged object detection (COD) and salient object detection (SOD) are two distinct yet closely-related computer vision tasks widely studied during the past decades.
Decomposition-based and Interference Perception for Infrared and Visible Image Fusion in Complex Scenes
Infrared and visible image fusion has emerged as a prominent research in computer vision.
