Papers Salient Object Detection
“Salient Object Detection” 태그가 달린 논문 574편 · 필터 해제
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 DetectionHVPNet: A Bio-Inspired Network for General Salient and Camouflaged Object Detection
In recent years, most research on multimodal salient object detection (SOD) and camouflaged object detection (COD) typically aims to improve performance through complex cross-modal feature fusion and decoding structures.…
Salient Object DetectionLiquid Fusion of Heterogeneous Representations Towards General Salient Object Detection
General Salient Object Detection (SOD) aims to identify and segment visually interesting objects from uni-modality or multi-modality scenes, recently advanced by cutting-edge State Space Models (SSMs). However, a critica…
Salient Object DetectionU$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection
Mamba-based models have emerged as a promising alternative for salient object detection (SOD), offering significant advantages in modeling long sequences. However, existing models often fail to explore contextual informa…
Salient Object DetectionMMDiff: Extending Diffusion Transformers for Multi-Modal Generation
Diffusion transformers have demonstrated remarkable generative capabilities, yet the rich perceptual representations computed across their denoising trajectory are discarded once the content is rendered. We present MMDif…
Synthetic Data GenerationSalient Object DetectionSemantic SegmentationDepth EstimationHyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone
While hyperspectral imaging provides rich spatial-spectral information across hundreds of narrow wavelength bands for precise material identification, ground-based hyperspectral pre-trained backbones remain absent, const…
Hyperspectral Semantic SegmentationSalient Object DetectionRepresentation LearningKnowledge DistillationLearning Dynamic Structural Specialization for Underwater Salient Object Detection
Underwater salient object detection (USOD) has attracted increasing attention for underwater visual scene understanding and vision-guided robotic applications. However, existing USOD methods still struggle with underwate…
Salient Object DetectionObject LocalizationScene UnderstandingUniV2D: Bridging Visual Restoration and Semantic Perception for Underwater Salient Object Detection
Underwater salient object detection (USOD) plays a vital role in marine vision tasks but remains fundamentally challenging due to severe visual degradation, such as selective absorption and medium scattering. Conventiona…
Salient Object DetectionGlobal-Local Feature Decoding with Adapter-Guided SAMv2 for Salient Object Detection
Salient Object Detection (SOD) remains an essential yet underexplored task in the era of large-scale vision models. Although foundation models like SAM exhibit strong generalization, their potential for SOD is not fully …
Salient Object DetectionDGSSM: Diffusion guided state-space models for multimodal salient object detection
Salient object detection (SOD) requires modeling both long-range contextual dependencies and fine-grained structural details, which remains challenging for convolutional, transformer-based, and Mamba-based state space mo…
Salient Object DetectionAutomated Palynological Analysis System: Integrating Deep Metric Learning and $U^{2}$-Net Detection in $H\infty$ bright field microscopy
Traditional melissopalynology is a time-consuming and subjective process, often taking 4-6 hours per sample. We present an automated, high-throughput microscopy system that integrates $H\infty$ robust mechanical control …
Salient Object DetectionMetric LearningDetermined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli
Existing \textbf{s}alient \textbf{o}bject \textbf{d}etection (SOD) methods adopt a \textbf{passive} visual stimulus-based rationale--objects with the strongest visual stimuli are perceived as the user's primary focus (i.…
Salient Object DetectionORSIFlow: Saliency-Guided Rectified Flow for Optical Remote Sensing Salient Object Detection
Optical Remote Sensing Image Salient Object Detection (ORSI-SOD) remains challenging due to complex backgrounds, low contrast, irregular object shapes, and large variations in object scale. Existing discriminative method…
Salient Object DetectionUSIS-PGM: Photometric Gaussian Mixtures for Underwater Salient Instance Segmentation
Underwater salient instance segmentation (USIS) is crucial for marine robotic systems, as it enables both underwater salient object detection and instance-level mask prediction for visual scene understanding. Compared wi…
Salient Object DetectionInstance SegmentationScene UnderstandingG2HFNet: GeoGran-Aware Hierarchical Feature Fusion Network for Salient Object Detection in Optical Remote Sensing Images
Remote sensing images captured from aerial perspectives often exhibit significant scale variations and complex backgrounds, posing challenges for salient object detection (SOD). Existing methods typically extract multi-l…
Salient Object Detection