Browse SoTA > Computer Vision > Saliency Detection

Saliency Detection

52 papers with code · Computer Vision

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

Greatest papers with code

Online Visual Place Recognition via Saliency Re-identification

29 Jul 2020wh200720041/SRLCD

As an essential component of visual simultaneous localization and mapping (SLAM), place recognition is crucial for robot navigation and autonomous driving.

AUTONOMOUS DRIVING ROBOT NAVIGATION SALIENCY DETECTION SIMULTANEOUS LOCALIZATION AND MAPPING VISUAL PLACE RECOGNITION

Time-Series Anomaly Detection Service at Microsoft

10 Jun 2019y-bar/spectral-residual

At Microsoft, we develop a time-series anomaly detection service which helps customers to monitor the time-series continuously and alert for potential incidents on time.

ANOMALY DETECTION SALIENCY DETECTION TIME SERIES

Hyperspectral Image Dataset for Benchmarking on Salient Object Detection

29 Jun 2018gistairc/HS-SOD

Many works have been done on salient object detection using supervised or unsupervised approaches on colour images.

RGB SALIENT OBJECT DETECTION SALIENCY DETECTION

DFNet: Discriminative feature extraction and integration network for salient object detection

3 Apr 2020Sina-Mohammadi/DFNet

To address the second challenge, we propose an Attention-based Multi-level Integrator Module to give the model the ability to assign different weights to multi-level feature maps.

RGB SALIENT OBJECT DETECTION SALIENCY DETECTION

Hierarchical Cellular Automata for Visual Saliency

26 May 2017ArcherFMY/HCA_saliency_codes

The CCA can act as an efficient pixel-wise aggregation algorithm that can integrate state-of-the-art methods, resulting in even better results.

SALIENCY DETECTION

A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection

CVPR 2020 OIPLab-DUT/CVPR2020-A2dele

Existing state-of-the-art RGB-D salient object detection methods explore RGB-D data relying on a two-stream architecture, in which an independent subnetwork is required to process depth data.

Ranked #10 on RGB-D Salient Object Detection on NJU2K (Average MAE metric, using extra training data)

RGB-D SALIENT OBJECT DETECTION RGB SALIENT OBJECT DETECTION SALIENCY DETECTION

Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features

26 Feb 2019anandhupvr/Mining-Objects

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).

OBJECT DISCOVERY SALIENCY DETECTION

JIT-Masker: Efficient Online Distillation for Background Matting

11 Jun 2020josephch405/jit-masker

We design a real-time portrait matting pipeline for everyday use, particularly for "virtual backgrounds" in video conferences.

SALIENCY DETECTION

A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection

6 Oct 2016nian-liu/DSCLRCN

Furthermore, the proposed DSCLSTM model can significantly boost the saliency detection performance by incorporating both global spatial interconnections and scene context modulation, which may uncover novel inspirations for studies on them in computational saliency models.

SALIENCY DETECTION