Reference health

Feature Mutual Feedback Network for Salient Object Detection

https://doi.org/10.2139/ssrn.4070568
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15/15 checkable references clean · checked 2026-08-22

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.

39 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 15 checked references that resolve
resolves10.1016/j.cviu.2018.08.006
Weakly supervised semantic segmentation using distinct class specific saliency maps
resolves10.1609/aaai.v34i07.6892
Progressive Feature Polishing Network for Salient Object Detection
resolves10.1609/aaai.v34i07.6916
F³Net: Fusion, Feedback and Focus for Salient Object Detection
resolves10.1609/aaai.v34i07.6633
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
resolves10.1145/3474085.3475494
Complementary Trilateral Decoder for Fast and Accurate Salient Object Detection
resolves10.1109/34.730558
A model of saliency-based visual attention for rapid scene analysis
resolves10.1109/ICIP.2014.7025234
A prior-based graph for salient object detection
resolves10.1109/TPAMI.2014.2345401
Global Contrast Based Salient Region Detection
resolves10.1109/CVPR.2012.6247743
Saliency filters: Contrast based filtering for salient region detection
resolves10.1109/TIP.2016.2579306
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
resolves10.1016/j.patcog.2020.107303
CAGNet: Content-Aware Guidance for Salient Object Detection
resolves10.1109/CVPR.2009.5206596
Frequency-tuned salient region detection
resolves10.1016/j.patcog.2019.107146
F-measure curves: A tool to visualize classifier performance under imbalance
resolves10.1109/TIP.2020.3017352
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge, and Skeleton
resolves10.1109/TIP.2021.3099405
Salient Object Detection With Purificatory Mechanism and Structural Similarity Loss
The 39 references without a DOI — listed, not checked
no DOI — not checkedAdaptive object tracking by learning background context
no DOI — not checkedIncremental learning with saliency map for moving object detection
no DOI — not checkedref3
no DOI — not checkedNon-salient region object mining for weakly supervised semantic segmentation
no DOI — not checkedref6
no DOI — not checkedObject detection from video tubelets with convolutional neural networks
no DOI — not checkedLearning to compare image patches via convolutional neural networks
no DOI — not checkedPyramid feature attention network for saliency detection
no DOI — not checkedAuto-msfnet: Search multi-scale fusion network for salient object detection
no DOI — not checkedMulti-scale interactive network for salient object detection
no DOI — not checkedHierarchical saliency detection
no DOI — not checkedSaliency detection via graph-based manifold ranking
no DOI — not checkedSaliency detection by multi-context deep learning
no DOI — not checkedref24
no DOI — not checkedContour knowledge transfer for salient object detection
no DOI — not checkedA bi-directional message passing model for salient object detection
no DOI — not checkedProgressive attention guided recurrent network for salient object detection
no DOI — not checkedA simple pooling-based design for real-time salient object detection
no DOI — not checkedref30
no DOI — not checkedAttention guided contextual feature fusion network for salient object detection
no DOI — not checkedR2net: Residual refinement network for salient object detection
no DOI — not checkedAttention is all you need
no DOI — not checkedDeep residual learning for image recognition
no DOI — not checkedVery deep convolutional networks for large-scale image recognition
no DOI — not checkedSqueeze-and-excitation networks
no DOI — not checkedref37
no DOI — not checkedref38
no DOI — not checkedThe secrets of salient object segmentation
no DOI — not checkedref41
no DOI — not checkedEnhanced-alignment Measure for Binary Foreground Map Evaluation
no DOI — not checkedR3net: Recurrent residual refinement network for saliency detection
no DOI — not checkedReverse attention for salient object detection
no DOI — not checkedCascaded partial decoder for fast and accurate salient object detection
no DOI — not checkedStacked cross refinement network for edge-aware salient object detection
no DOI — not checkedInteractive two-stream decoder for accurate and fast saliency detection
no DOI — not checkedSuppress and balance: A simple gated network for salient object detection
no DOI — not checkedDNA: Deeply supervised nonlinear aggregation for salient object detection
no DOI — not checkedA mutual learning method for salient object detection with intertwined multi-supervision
no DOI — not checkedAttentive feedback network for boundary-aware salient object detection
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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