Saliency Detection
130 papers with code • 7 benchmarks • 13 datasets
Saliency Detection is a preprocessing step in computer vision which aims at finding salient objects in an image.
Source: An Unsupervised Game-Theoretic Approach to Saliency Detection
Benchmarks
These leaderboards are used to track progress in Saliency Detection
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Libraries
Use these libraries to find Saliency Detection models and implementations
PASCAL Context
PASCAL-S
DUTS
HKU-IS
DUT-OMRON
iSUN
CAT2000
ECSSD
ReDWeb-S
Lytro Illum
Subtasks
Most implemented papers
Hierarchical Cellular Automata for Visual Saliency
The CCA can act as an efficient pixel-wise aggregation algorithm that can integrate state-of-the-art methods, resulting in even better results.
Learning Uncertain Convolutional Features for Accurate Saliency Detection
In this paper, we propose a novel deep fully convolutional network model for accurate salient object detection.
A Stagewise Refinement Model for Detecting Salient Objects in Images
To remedy this problem, here we propose to augment feedforward neural networks with a novel pyramid pooling module and a multi-stage refinement mechanism for saliency detection.
Personalized Saliency and its Prediction
Specifically, we propose to decompose a personalized saliency map (referred to as PSM) into a universal saliency map (referred to as USM) predictable by existing saliency detection models and a new discrepancy map across users that characterizes personalized saliency.
Variational Laws of Visual Attention for Dynamic Scenes
We devise variational laws of the eye-movement that rely on a generalized view of the Least Action Principle in physics.
Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement
Within our framework, the model of a bottom-up mechanism is guided by the gestalt-laws of perception.
Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation
SherylHYX/Ro-SOS-Metric-Expression-Network-MEnet-for-Robust-Salient-Object-Segmentation
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In this paper, we propose an end-to-end generic salient object segmentation model called Metric Expression Network (MEnet) to deal with saliency detection with the tolerance of distortion.
Learning to Promote Saliency Detectors
The categories and appearance of salient objects vary from image to image, therefore, saliency detection is an image-specific task.
Surface Defect Saliency of Magnetic Tile
Vision-based detection on surface defects has long postulated in the magnetic tile automation process.
Improving Landmark Recognition using Saliency detection and Feature classification
AKASH2907/indian_landmark_recognition
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Image Landmark Recognition has been one of the most sought-after classification challenges in the field of vision and perception.
