Salient Object Detection
235 papers with code • 6 benchmarks • 16 datasets
Libraries
Use these libraries to find Salient Object Detection models and implementations
PASCAL-S
DUTS
HKU-IS
DUT-OMRON
ECSSD
SOC
VT5000
HRSOD
EORSSD
Most implemented papers
Non-Local Deep Features for Salient Object Detection
Saliency detection aims to highlight the most relevant objects in an image.
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection
One is the lack of tremendous amount of annotated data to train a network.
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection
Many works have been done on salient object detection using supervised or unsupervised approaches on colour images.
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.
