Salient Object Detection
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Benchmarks
Most implemented
Res2Net: A New Multi-scale Backbone Architecture
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
RGB-D Salient Object Detection: A Survey
EGNet: Edge Guidance Network for Salient Object Detection
Reverse Attention-Based Residual Network for Salient Object Detection
A Simple Pooling-Based Design for Real-Time Salient Object Detection
Papers
TDFNet: Tri-projection Deformable Fusion Network for Panoramic Salient Object Detection
Recent years have witnessed the growing potential of panoramic salient object detection in robotic vision, virtual reality, and related applications. However, projecting spherical scenes onto 2D planes inevitably introdu…
Salient Object DetectionMIMONet: Multi-scale Input and Multi-scale Output Network for Salient Object Detection
The existing methods for saliency detection task focus on the application of multi-level features, aiming to take advantage of the respective strengths of high- and low-level features. However, because the inputs of thes…
Salient Object DetectionSaliency DetectionS$^3$AM: A Single-Stream SAM with Reliability-Calibrated Frequency Adapter for Multi-modal Salient Object Detection
Vision foundation models have recently advanced multi-modal salient object detection (MSOD) through parameter-efficient tuning and prompt learning. However, existing Segment Anything Model (SAM)-adapted MSOD methods ofte…
Salient Object DetectionSpectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection
Hyperspectral salient object detection aims to identify visually salient regions from hyperspectral images. Existing methods often fail because they fundamentally misunderstand the data, confusing incidental spectral var…
Computational EfficiencySalient Object DetectionIPDiff: Diffusion-driven ORSI Salient Object Detection with Information Reconstruction and Multi-Prior Guidance
Existing Salient Object Detection in Optical Remote Sensing Image (ORSI-SOD) methods mainly adopt the static inference strategy, which uses fixed trained model parameters for saliency inference in the testing phase. This…
Salient Object DetectionRethinking Conditional Generation for Underwater Salient Object Detection
Salient Object Detection in underwater images remains challenging due to low contrast, uneven illumination, and color distortion caused by scattering and absorption effects, which limit the effectiveness of conventional …
Salient Object Detection