Saliency Prediction

81 papers with code • 2 benchmarks • 5 datasets

A saliency map is a model that predicts eye fixations on a visual scene.

Libraries

Use these libraries to find Saliency Prediction models and implementations

Most implemented papers

Contextual Encoder-Decoder Network for Visual Saliency Prediction

alexanderkroner/saliency 18 Feb 2019

To develop robust representations for this challenging task, high-level visual features at multiple spatial scales must be extracted and augmented with contextual information.

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.

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

imatge-upc/salgan 4 Jan 2017

We introduce SalGAN, a deep convolutional neural network for visual saliency prediction trained with adversarial examples.

Reverse Attention for Salient Object Detection

ShuhanChen/RAS_ECCV18 ECCV 2018

Benefit from the quick development of deep learning techniques, salient object detection has achieved remarkable progresses recently.

Fast Underwater Image Enhancement for Improved Visual Perception

xahidbuffon/funie-gan 23 Mar 2019

In this paper, we present a conditional generative adversarial network-based model for real-time underwater image enhancement.

BASNet: Boundary-Aware Salient Object Detection

NathanUA/BASNet CVPR 2019

In this paper, we propose a predict-refine architecture, BASNet, and a new hybrid loss for Boundary-Aware Salient object detection.

Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception

xahidbuffon/Deep-SESR 4 Feb 2020

In this paper, we introduce and tackle the simultaneous enhancement and super-resolution (SESR) problem for underwater robot vision and provide an efficient solution for near real-time applications.

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark

xahidbuffon/SUIM 2 Apr 2020

We also present a benchmark evaluation of state-of-the-art semantic segmentation approaches based on standard performance metrics.

Specificity-preserving RGB-D Saliency Detection

taozh2017/RGBD-SODsurvey ICCV 2021

To effectively fuse cross-modal features in the shared learning network, we propose a cross-enhanced integration module (CIM) and then propagate the fused feature to the next layer for integrating cross-level information.

A Deep Multi-Level Network for Saliency Prediction

marcellacornia/mlnet 5 Sep 2016

Current state of the art models for saliency prediction employ Fully Convolutional networks that perform a non-linear combination of features extracted from the last convolutional layer to predict saliency maps.