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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

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Datasets

Greatest papers with code

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

18 May 2020NathanUA/U-2-Net

In this paper, we design a simple yet powerful deep network architecture, U$^2$-Net, for salient object detection (SOD).

IMAGE CLASSIFICATION RGB SALIENT OBJECT DETECTION SALIENCY DETECTION SALIENT OBJECT DETECTION

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.

SALIENCY DETECTION

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.

RGB SALIENT OBJECT DETECTION SALIENCY DETECTION

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

7 Sep 2020JingZhang617/UCNet

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.

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.

RGB-D SALIENT OBJECT DETECTION SALIENCY DETECTION

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.

SALIENCY DETECTION

Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models

8 Jun 2020anvoynov/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

ICCV 2019 jiwei0921/DMRA

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