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Advances in deep concealed scene understanding
Concealed scene understanding (CSU) is a hot computer vision topic aiming to perceive
objects exhibiting camouflage. The current boom in terms of techniques and applications …
objects exhibiting camouflage. The current boom in terms of techniques and applications …
RGB-T image analysis technology and application: A survey
Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …
years. In the past decade, it has received wide attention and made a lot of important …
Pugan: Physical model-guided underwater image enhancement using gan with dual-discriminators
Due to the light absorption and scattering induced by the water medium, underwater images
usually suffer from some degradation problems, such as low contrast, color distortion, and …
usually suffer from some degradation problems, such as low contrast, color distortion, and …
Vscode: General visual salient and camouflaged object detection with 2d prompt learning
Salient object detection (SOD) and camouflaged object detection (COD) are related yet
distinct binary map** tasks. These tasks involve multiple modalities sharing …
distinct binary map** tasks. These tasks involve multiple modalities sharing …
Decoupling and integration network for camouflaged object detection
Recently, camouflaged object detection (COD), which suffers from numerous challenges
such as low contrast between camouflaged objects and background and large variations of …
such as low contrast between camouflaged objects and background and large variations of …
PSNet: Parallel symmetric network for video salient object detection
For the video salient object detection (VSOD) task, how to excavate the information from the
appearance modality and the motion modality has always been a topic of great concern. The …
appearance modality and the motion modality has always been a topic of great concern. The …
Orsi salient object detection via bidimensional attention and full-stage semantic guidance
The application of optical remote sensing images (ORSIs) is prevalent in many fields.
Accordingly, ORSI-oriented salient object detection (SOD) has attracted more attention in …
Accordingly, ORSI-oriented salient object detection (SOD) has attracted more attention in …
Heterogeneous fusion and integrity learning network for RGB-D salient object detection
While significant progress has been made in recent years in the field of salient object
detection, there are still limitations in heterogeneous modality fusion and salient feature …
detection, there are still limitations in heterogeneous modality fusion and salient feature …
Transformer fusion and pixel-level contrastive learning for RGB-D salient object detection
Current RGB-D salient object detection (RGB-D SOD) methods mainly develop a
generalizable model trained by binary cross-entropy (BCE) loss based on convolutional or …
generalizable model trained by binary cross-entropy (BCE) loss based on convolutional or …