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
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features
To tackle this problem, we propose a simple but effective pattern mining-based method, called Object Location Mining (OLM), which exploits the advantages of data mining and feature representation of pre-trained convolutional neural networks (CNNs).
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task
gqding/SUDF
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Various saliency detection algorithms from color images have been proposed to mimic eye fixation or attentive object detection response of human observers for the same scenes.
Multi-source weak supervision for saliency detection
To this end, we propose a unified framework to train saliency detection models with diverse weak supervision sources.
RGB-T Image Saliency Detection via Collaborative Graph Learning
jxr326/swinmcnet
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In this paper, we propose an effective approach for RGB-T image saliency detection.
Saliency detection based on structural dissimilarity induced by image quality assessment model
Similar to IQA models, the structural dissimilarity is computed based on the correlation of the structural features.
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision
JosephineRabbit/MLMSNet
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CVPR 2019
Though deep learning techniques have made great progress in salient object detection recently, the predicted saliency maps still suffer from incomplete predictions due to the internal complexity of objects and inaccurate boundaries caused by strides in convolution and pooling operations.
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection
We solve this task by dividing it into two sub-tasks, co-peak search and instance mask segmentation.
Gravitational Laws of Focus of Attention
The understanding of the mechanisms behind focus of attention in a visual scene is a problem of great interest in visual perception and computer vision.
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection
kylemin/TASED-Net
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ICCV 2019
It consists of two building blocks: first, the encoder network extracts low-resolution spatiotemporal features from an input clip of several consecutive frames, and then the following prediction network decodes the encoded features spatially while aggregating all the temporal information.
Towards High-Resolution Salient Object Detection
This paper pushes forward high-resolution saliency detection, and contributes a new dataset, named High-Resolution Salient Object Detection (HRSOD).
