Saliency Detection

82 papers with code • 6 benchmarks • 12 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

Greatest papers with code

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

xuebinqin/U-2-Net 18 May 2020

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 +2

Pyramid Feature Attention Network for Saliency detection

CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection CVPR 2019

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

Deeply supervised salient object detection with short connections

Andrew-Qibin/DSS CVPR 2017

Recent progress on saliency detection is substantial, benefiting mostly from the explosive development of Convolutional Neural Networks (CNNs).

Boundary Detection RGB Salient Object Detection +3

Uncertainty Inspired RGB-D Saliency Detection

JingZhang617/UCNet 7 Sep 2020

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 +1

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

JingZhang617/UCNet CVPR 2020

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

DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection

KuangJuiHsu/DeepCO3 CVPR 2019

We solve this task by dividing it into two sub-tasks, co-peak search and instance mask segmentation.

Co-Salient Object Detection

Real Time Image Saliency for Black Box Classifiers

PiotrDabkowski/pytorch-saliency NeurIPS 2017

In this work we develop a fast saliency detection method that can be applied to any differentiable image classifier.

Saliency Detection

Object Segmentation Without Labels with Large-Scale Generative Models

anvoynov/BigGANsAreWatching 8 Jun 2020

The recent rise of unsupervised and self-supervised learning has dramatically reduced the dependency on labeled data, providing effective image representations for transfer to downstream vision tasks.

Fine-tuning Image Classification +4