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Fast and accurate light field saliency detection through deep encoding

https://doi.org/10.1016/j.image.2022.116888

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_50openalex-snapshot

Saliency Detection with Recurrent Fully Convolutional Networks

inferredcites →https://doi.org/10.1007/s10044-020-00925-1openalex-snapshot

AWkS: adaptive, weighted k-means-based superpixels for improved saliency detection

inferredcites →https://doi.org/10.1016/j.future.2018.01.001openalex-snapshot

Low illumination underwater light field images reconstruction using deep convolutional neural networks

inferredcites →https://doi.org/10.1016/j.jvcir.2020.102761openalex-snapshot

Saliency detection using adversarial learning networks

inferredcites →https://doi.org/10.1016/j.sigpro.2019.107294openalex-snapshot

Multi-depth filtering and occlusion suppression in 4-D light fields: Algorithms and architectures

inferredcites →https://doi.org/10.1109/cvpr.2009.5206596openalex-snapshot

Frequency-tuned salient region detection

inferredcites →https://doi.org/10.1109/cvpr.2014.359openalex-snapshot

Saliency Detection on Light Field

inferredcites →https://doi.org/10.1109/cvpr.2015.7298731openalex-snapshot

Saliency detection by multi-context deep learning

inferredcites →https://doi.org/10.1109/cvpr.2015.7299158openalex-snapshot

A weighted sparse coding framework for saliency detection

inferredcites →https://doi.org/10.1109/cvpr.2016.399openalex-snapshot

Recurrent Attentional Networks for Saliency Detection

inferredcites →https://doi.org/10.1109/cvpr.2016.58openalex-snapshot

Deep Contrast Learning for Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.404openalex-snapshot

Learning to Detect Salient Objects with Image-Level Supervision

inferredcites →https://doi.org/10.1109/cvpr.2018.00081openalex-snapshot

Progressive Attention Guided Recurrent Network for Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00326openalex-snapshot

PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.00320openalex-snapshot

Pyramid Feature Attention Network for Saliency Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.00823openalex-snapshot

LiFF: Light Field Features in Scale and Depth

inferredcites →https://doi.org/10.1109/iccv.2013.89openalex-snapshot

Depth from Combining Defocus and Correspondence Using Light-Field Cameras

inferredcites →https://doi.org/10.1109/iccv.2015.398openalex-snapshot

Occlusion-Aware Depth Estimation Using Light-Field Cameras

inferredcites →https://doi.org/10.1109/icra15140.2011openalex-snapshot

2011 IEEE International Conference on Robotics and Automation

inferredcites →https://doi.org/10.1109/iros.2011.6048841openalex-snapshot

Plenoptic flow: Closed-form visual odometry for light field cameras

inferredcites →https://doi.org/10.1109/iros.2011.6095080openalex-snapshot

Plenoptic flow: Closed-form visual odometry for light field cameras

inferredcites →https://doi.org/10.1109/jstsp.2017.2737965openalex-snapshot

From the Calibration of a Light-Field Camera to Direct Plenoptic Odometry

inferredcites →https://doi.org/10.1109/jstsp.2017.2747126openalex-snapshot

Light Field Image Processing: An Overview

inferredcites →https://doi.org/10.1109/mmul.2017.24openalex-snapshot

A Light-Field Journey to Virtual Reality

inferredcites →https://doi.org/10.1109/tcsvt.2020.3013119openalex-snapshot

A Multi-Task Collaborative Network for Light Field Salient Object Detection

inferredcites →https://doi.org/10.1109/tim.2021.3064423openalex-snapshot

Gated Contextual Features for Salient Object Detection

inferredcites →https://doi.org/10.1109/tim.2021.3108503openalex-snapshot

ALMNet: Adjacent Layer Driven Multiscale Features for Salient Object Detection

inferredcites →https://doi.org/10.1109/tip.2018.2839524openalex-snapshot

Accurate Light Field Depth Estimation With Superpixel Regularization Over Partially Occluded Regions

inferredcites →https://doi.org/10.1109/tip.2020.2970529openalex-snapshot

Light Field Saliency Detection With Deep Convolutional Networks

inferredcites →https://doi.org/10.1109/tip.2020.3014734openalex-snapshot

RGBD Salient Object Detection via Disentangled Cross-Modal Fusion

inferredcites →https://doi.org/10.1109/tpami.2014.2345401openalex-snapshot

Global Contrast Based Salient Region Detection

inferredcites →https://doi.org/10.1109/tpami.2016.2610425openalex-snapshot

Saliency Detection on Light Field

inferredcites →https://doi.org/10.1109/tpami.2019.2935715openalex-snapshot

Saliency Prediction in the Deep Learning Era: Successes and Limitations

inferredcites →https://doi.org/10.1109/tpami.2021.3051099openalex-snapshot

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

inferredcites →https://doi.org/10.1109/tsp.2006.885733openalex-snapshot

A 4-D Dual-Fan Filter Bank for Depth Filtering in Light Fields

inferredcites →https://doi.org/10.1109/tsp.2015.2408559openalex-snapshot

Five-Dimensional Depth-Velocity Filtering for Enhancing Moving Objects in Light Field Videos

inferredcites →https://doi.org/10.1145/237170.237199openalex-snapshot

Light field rendering

inferredcites →https://doi.org/10.1145/2665074openalex-snapshot

Linear Volumetric Focus for Light Field Cameras

inferredcites →https://doi.org/10.1145/3107956openalex-snapshot

Saliency Detection on Light Field

inferredcites →https://doi.org/10.1177/0278364912469420openalex-snapshot

Plenoptic cameras in real-time robotics

inferredcites →https://doi.org/10.1609/aaai.v34i07.6633openalex-snapshot

Global Context-Aware Progressive Aggregation Network for Salient Object Detection

inferredcites →https://doi.org/10.24963/ijcai.2019/127openalex-snapshot

Deep Light-field-driven Saliency Detection from a Single View

inferredcites →https://doi.org/10.3390/e22101174openalex-snapshot

Salient Object Detection Techniques in Computer Vision—A Survey

inferredcites →https://doi.org/10.48550/arxiv.2012.15124openalex-snapshot

DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4650606openalex-extracted

A Method for Detecting Gas Applied in Seed Germination with Varying Concentrations Based on Gas Sensors

inferred← citeshttps://doi.org/10.1016/j.displa.2026.103614openalex-snapshot

Geometry-guided explicit–implicit fusion for light field de-occlusion

inferred← citeshttps://doi.org/10.1016/j.image.2023.117031openalex-snapshot

Optical Flow Assisted Multi-Level Fusion Network for Light Field Image Angular Reconstruction

inferred← citeshttps://doi.org/10.1016/j.image.2023.117063openalex-snapshot

Multi-operator Image Retargeting based on Saliency Object Ranking and Similarity Evaluation Metric

inferred← citeshttps://doi.org/10.1016/j.image.2024.117196openalex-snapshot

Editorial

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111996openalex-snapshot

Improving RGB-D salient object detection by addressing inconsistent saliency problems

inferred← citeshttps://doi.org/10.1016/j.measurement.2024.114339openalex-snapshot

A method for detecting gas applied in seed germination with varying concentration based on gas sensors

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.