About
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
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Subtasks
Datasets
Greatest papers with code
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
• NathanUA/U-2-Net
• 
In this paper, we design a simple yet powerful deep network architecture, U$^2$-Net, for salient object detection (SOD).
Ranked #1 on
Salient Object Detection
on PASCAL-S
IMAGE CLASSIFICATION RGB SALIENT OBJECT DETECTION SALIENCY DETECTION SALIENT OBJECT DETECTION
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
ICML 2020
• anvoynov/GANLatentDiscovery
•
The latent spaces of GAN models often have semantically meaningful directions.
Pyramid Feature Attention Network for Saliency detection
CVPR 2019
• CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection
• 
To solve this problem, we propose Pyramid Feature Attention network to focus on effective high-level context features and low-level spatial structural features.
Ranked #1 on
Saliency Detection
on DUTS-test
PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
CVPR 2018
• Ugness/PiCANet-Implementation
•
We formulate the proposed PiCANet in both global and local forms to attend to global and local contexts, respectively.
Ranked #5 on
RGB Salient Object Detection
on DUTS-TE
Motion Guided Attention for Video Salient Object Detection
ICCV 2019
• lhaof/Motion-Guided-Attention
•
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.
OPTICAL FLOW ESTIMATION SALIENCY DETECTION SALIENT OBJECT DETECTION VIDEO SALIENT OBJECT DETECTION
Uncertainty Inspired RGB-D Saliency Detection
Our framework includes two main models: 1) a generator model, which maps the input image and latent variable to stochastic saliency prediction, and 2) an inference model, which gradually updates the latent variable by sampling it from the true or approximate posterior distribution.
Ranked #1 on
RGB Salient Object Detection
on HKU-IS
RGB-D SALIENT OBJECT DETECTION RGB SALIENT OBJECT DETECTION SALIENCY PREDICTION
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
CVPR 2020
• JingZhang617/UCNet
•
In this paper, we propose the first framework (UCNet) to employ uncertainty for RGB-D saliency detection by learning from the data labeling process.
Ranked #2 on
RGB-D Salient Object Detection
on STERE
Real Time Image Saliency for Black Box Classifiers
NeurIPS 2017
• PiotrDabkowski/pytorch-saliency
•
In this work we develop a fast saliency detection method that can be applied to any differentiable image classifier.
Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models
• anvoynov/BigGANsAreWatching
•
However, since generative models are known to be unstable and sensitive to hyperparameters, the training of these methods can be challenging and time-consuming.
SALIENCY DETECTION SEMANTIC SEGMENTATION UNSUPERVISED OBJECT SEGMENTATION
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection
In this work, we propose a novel depth-induced multi-scale recurrent attention network for saliency detection.
Ranked #11 on
RGB-D Salient Object Detection
on NJU2K
(using extra training data)
RGB-D SALIENT OBJECT DETECTION SALIENCY DETECTION SCENE UNDERSTANDING