Salient Object Detection
232 papers with code • 6 benchmarks • 16 datasets
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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.
A Saliency Enhanced Feature Fusion based multiscale RGB-D Salient Object Detection Network
SEFF utilizes saliency maps of the neighboring scales to enhance the necessary features for fusing, resulting in more representative fused features.
Discriminative Consensus Mining with A Thousand Groups for More Accurate Co-Salient Object Detection
Co-Salient Object Detection (CoSOD) is a rapidly growing task, extended from Salient Object Detection (SOD) and Common Object Segmentation (Co-Segmentation).
SqueezeSAM: User friendly mobile interactive segmentation
Finally, when a user clicks on an object, they typically expect all related pieces of the object to be segmented.
Cascaded Interaction with Eroded Deep Supervision for Salient Object Detection
Deep convolutional neural networks have been widely applied in salient object detection and have achieved remarkable results in this field.
SimulFlow: Simultaneously Extracting Feature and Identifying Target for Unsupervised Video Object Segmentation
We evaluate our method on several benchmark datasets and achieve state-of-the-art results.