Papers RGB-T Salient Object Detection
“RGB-T Salient Object Detection” 태그가 달린 논문 10편 · 필터 해제
KAN-SAM: Kolmogorov-Arnold Network Guided Segment Anything Model for RGB-T Salient Object Detection
Existing RGB-thermal salient object detection (RGB-T SOD) methods aim to identify visually significant objects by leveraging both RGB and thermal modalities to enable robust performance in complex scenarios, but they oft…
Diversityobject-detectionObject DetectionPrompt Learning+2Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network
Alignment-free RGB-Thermal (RGB-T) salient object detection (SOD) aims to achieve robust performance in complex scenes by directly leveraging the complementary information from unaligned visible-thermal image pairs, with…
object-detectionObject DetectionRGB-T Salient Object DetectionSalient Object DetectionDivide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection
RGB-Thermal Salient Object Detection aims to pinpoint prominent objects within aligned pairs of visible and thermal infrared images. Traditional encoder-decoder architectures, while designed for cross-modality feature in…
object-detectionObject DetectionRGB-T Salient Object DetectionSalient Object DetectionCoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection
The depth/thermal information is beneficial for detecting salient object with conventional RGB images. However, in dual-modal salient object detection (SOD) model, the robustness against noisy inputs and modality missing…
CoLALanguage ModelingLanguage Modellingobject-detection+5All in One: RGB, RGB-D, and RGB-T Salient Object Detection
Salient object detection (SOD) aims to identify the most attractive objects within an image. Depending on the type of data being detected, SOD can be categorized into various forms, including RGB, RGB-D (Depth), RGB-T (T…
Allobject-detectionObject DetectionRGB-T Salient Object Detection+2Scribble-Supervised RGB-T Salient Object Detection
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 p…
Objectobject-detectionObject DetectionRGB-T Salient Object Detection+2Interactive Context-Aware Network for RGB-T Salient Object Detection
Salient object detection (SOD) focuses on distinguishing the most conspicuous objects in the scene. However, most related works are based on RGB images, which lose massive useful information. Accordingly, with the maturi…
object-detectionObject DetectionRGB-T Salient Object DetectionSalient Object DetectionDoes Thermal Really Always Matter for RGB-T Salient Object Detection?
In recent years, RGB-T salient object detection (SOD) has attracted continuous attention, which makes it possible to identify salient objects in environments such as low light by introducing thermal image. However, most …
object-detectionObject DetectionObject LocalizationRGB-T Salient Object Detection+1SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection
Convolutional neural networks (CNNs) are good at extracting contexture features within certain receptive fields, while transformers can model the global long-range dependency features. By absorbing the advantage of trans…
Decoderobject-detectionObject DetectionRGB-T Salient Object Detection+1CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection
Most of the existing bi-modal (RGB-D and RGB-T) salient object detection methods utilize the convolution operation and construct complex interweave fusion structures to achieve cross-modal information integration. The in…
Decoderobject-detectionObject DetectionRGB-D Salient Object Detection+2