Reference health

FAMED-Net: A Fast and Accurate Multi-Scale End-to-End Dehazing Network

https://doi.org/10.1109/tip.2019.2922837
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38/38 checkable references clean · checked 2026-07-25

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

12 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 38 checked references that resolve
resolves10.1109/ICCV.2015.164
Holistically-Nested Edge Detection
resolves10.1109/CVPR.2017.106
Feature Pyramid Networks for Object Detection
resolves10.1109/CVPR.2017.618
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
resolves10.1023/B:VISI.0000029664.99615.94
Distinctive Image Features from Scale-Invariant Keypoints
resolves10.1109/18.57199
The wavelet transform, time-frequency localization and signal analysis
resolves10.1007/978-3-030-01234-2_43
Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing
resolves10.1109/TPAMI.2017.2699184
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
resolves10.1007/978-3-030-01249-6_30
LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction
resolves10.1023/A:1016328200723
Vision and the Atmosphere
resolves10.1109/ICCV.2017.511
AOD-Net: All-in-One Dehazing Network
resolves10.1109/CVPR.2018.00343
Gated Fusion Network for Single Image Dehazing
resolves10.1145/3240508.3240653
Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images
resolves10.1109/CVPR.2018.00856
Single Image Dehazing via Conditional Generative Adversarial Network
resolves10.1109/CVPR.2018.00337
Densely Connected Pyramid Dehazing Network
resolves10.1109/TIP.2017.2771158
Single Image Dehazing Using Color Ellipsoid Prior
resolves10.1109/CVPR.2017.243
Densely Connected Convolutional Networks
resolves10.1109/TIP.2018.2849928
Single Image Dehazing With Depth-Aware Non-Local Total Variation Regularization
resolves10.1109/TIP.2018.2868567
AIPNet: Image-to-Image Single Image Dehazing With Atmospheric Illumination Prior
resolves10.1109/TIP.2017.2750418
Single Image De-Hazing Using Globally Guided Image Filtering
resolves10.1145/1360612.1360671
Single image dehazing
resolves10.1109/TPAMI.2010.168
Single Image Haze Removal Using Dark Channel Prior
resolves10.1109/CVPR.2014.383
Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing
resolves10.1109/TIP.2015.2446191
A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior
resolves10.1109/CVPR.2016.185
Non-local Image Dehazing
resolves10.1109/TIP.2016.2598681
DehazeNet: An End-to-End System for Single Image Haze Removal
resolves10.1007/978-3-319-46475-6_10
Single Image Dehazing via Multi-scale Convolutional Neural Networks
resolves10.1007/s11263-005-6642-x
Image Parsing: Unifying Segmentation, Detection, and Recognition
resolves10.1109/TIP.2018.2867951
Benchmarking Single-Image Dehazing and Beyond
resolves10.1007/s11263-018-1072-8
Semantic Foggy Scene Understanding with Synthetic Data
resolves10.1109/IVS.2010.5548128
Improved visibility of road scene images under heterogeneous fog
resolves10.1109/CVPR.2001.990493
Instant dehazing of images using polarization
resolves10.1109/ICCV.1999.790306
Vision in bad weather
resolves10.1109/ICCV.2013.82
Efficient Image Dehazing with Boundary Constraint and Contextual Regularization
resolves10.1109/ICCV.2009.5459251
Fast visibility restoration from a single color or gray level image
resolves10.1109/TPAMI.2012.213
Guided Image Filtering
resolves10.1007/978-1-84882-491-1
Natural Image Statistics
resolves10.1109/CVPR.2017.742
Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior
The 12 references without a DOI — listed, not checked
no DOI — not checkedDeep generative image models using a Laplacian pyramid of adversarial networks
no DOI — not checkedDeepExposure: Learning to expose photos with asynchronously reinforced adversarial learning
no DOI — not checkedref28
no DOI — not checkedGenerative adversarial nets
no DOI — not checkedImproved techniques for learning to dehaze and beyond: A collective study
no DOI — not checkedEnd-to-end united video dehazing and detection
no DOI — not checkedSingle image haze removal using dark channel prior
no DOI — not checkedDeeply-supervised nets
no DOI — not checkedEnhancement of color images in poor visibility conditions
no DOI — not checkedref48
no DOI — not checkedRobust image and video dehazing with visual artifact suppression via gradient residual minimization
no DOI — not checkedFast guided filter
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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