RGB Salient Object Detection
97 papers with code • 13 benchmarks • 17 datasets
RGB Salient object detection is a task-based on a visual attention mechanism, in which algorithms aim to explore objects or regions more attentive than the surrounding areas on the scene or RGB images.
( Image credit: Attentive Feedback Network for Boundary-Aware Salient Object Detection )
Benchmarks
These leaderboards are used to track progress in RGB Salient Object Detection
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Libraries
Use these libraries to find RGB Salient Object Detection models and implementations
PASCAL-S
DUTS
HKU-IS
DUT-OMRON
ISTD
SBU
ECSSD
SOC
VT5000
HRSOD
Most implemented papers
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection
We propose three specific formulations of the PiCANet via embedding the pixel-wise contextual attention mechanism into the pooling and convolution operations with attending to global or local contexts.
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
The large availability of depth sensors provides valuable complementary information for salient object detection (SOD) in RGBD images.
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
DengPingFan/D3NetBenchmark
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The use of RGB-D information for salient object detection has been extensively explored in recent years.
Motion Guided Attention for Video Salient Object Detection
In this paper, we develop a multi-task motion guided video salient object detection network, which learns to accomplish two sub-tasks using two sub-networks, one sub-network for salient object detection in still images and the other for motion saliency detection in optical flow images.
A Fixation-based 360° Benchmark Dataset for Salient Object Detection
Experimental results show a limitation of the current methods when used for SOD in panoramic images, which indicates the proposed dataset is challenging.
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
Deep convolutional neural networks have achieved competitive performance in salient object detection, in which how to learn effective and comprehensive features plays a critical role.
Multi-interactive Dual-decoder for RGB-thermal Salient Object Detection
lz118/Multi-interactive-Siamese-Decoder
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Then, we design a novel dual-decoder to conduct the interactions of multi-level features, two modalities and global contexts.
Bifurcated backbone strategy for RGB-D salient object detection
zyjwuyan/BBS-Net
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In particular, first, we propose to regroup the multi-level features into teacher and student features using a bifurcated backbone strategy (BBS).
Re-thinking Co-Salient Object Detection
CoSOD is an emerging and rapidly growing extension of salient object detection (SOD), which aims to detect the co-occurring salient objects in a group of images.
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark
Salient object detection in complex scenes and environments is a challenging research topic.
