Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:00:14.865043Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 0 inbound Pith citation observations for arXiv:1908.08433.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:00:14.865043Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
95 of 95 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 31c0b016-6dd1-45f1-a984-59ed672e49c3 · outbound
Scoot: A Perceptual Metric for Facial Sketches An investigation of the textural characteristics associated with gray level cooc- currence matrix statistical parameters
Reference 1
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Observation b7ccbaed-455a-4ccb-8687-8a5a05d8c652 · outbound
Scoot: A Perceptual Metric for Facial Sketches Algorithm AS 89: the upper tail probabilities of Spearman’s rho
Reference 2
Source-reported events for the cited work
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Observation 5c509fdc-059d-4dba-87fe-d20f4818df3b · outbound
Scoot: A Perceptual Metric for Facial Sketches A computational approach to edge detection
Reference 3
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Observation eb0b3fcb-b928-4257-801f-f705c3eb6859 · outbound
Scoot: A Perceptual Metric for Facial Sketches A new LDA-based face recognition system which can solve the small sample size problem
Reference 4
Source-reported events for the cited work
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Observation e2f1c52e-8b1f-46bb-bbe9-b15894b05eaf · outbound
Scoot: A Perceptual Metric for Facial Sketches BING: Binarized normed gradients for objectness estimation at 300fps.Computational Visual Media, 5(1):3–20, 2019
Reference 5
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Scoot: A Perceptual Metric for Facial Sketches An analysis of co-occurrence texture statis- tics as a function of grey level quantization
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92cc9e52-6838-4d0d-88f7-a9e6c038058b · outbound
Scoot: A Perceptual Metric for Facial Sketches Generating images with perceptual similarity metrics based on deep networks
Reference 7
Source-reported events for the cited work
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Observation 32b2eb45-9df1-4a15-9f77-ea13956bed91 · outbound
Scoot: A Perceptual Metric for Facial Sketches Link the head to the beak: Zero shot learning from noisy text description at part precision
Reference 8
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Scoot: A Perceptual Metric for Facial Sketches Structure-measure: A New Way to Evaluate Fore- ground Maps
Reference 9
Source-reported events for the cited work
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Observation b8fa719f-be4f-4fde-832e-e1aa96cfc855 · outbound
Scoot: A Perceptual Metric for Facial Sketches Enhanced-alignment Measure for Binary Foreground Map Evaluation
Reference 10
Source-reported events for the cited work
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Observation e2d9d313-0ef2-42bf-85e6-2ffcfc034f9f · outbound
Scoot: A Perceptual Metric for Facial Sketches Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
Reference 11
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Observation a75e1abb-74d6-410f-9d32-e7273ee935fe · outbound
Scoot: A Perceptual Metric for Facial Sketches Salient objects in clutter: Bringing salient object detection to the foreground
Reference 12
Source-reported events for the cited work
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Observation 5a55fb89-ca16-42c4-941e-8a842f785081 · outbound
Scoot: A Perceptual Metric for Facial Sketches Shifting more attention to video salient object detection
Reference 13
Source-reported events for the cited work
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Observation 8e4cd35f-50c1-4c1f-a4f4-15b25c3f45fe · outbound
Scoot: A Perceptual Metric for Facial Sketches Example-based synthesis of stylized facial animations
Reference 14
Source-reported events for the cited work
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Observation 2bce95d4-ff0d-4fe6-b409-3c5c1abc1c86 · outbound
Scoot: A Perceptual Metric for Facial Sketches Learning style translation for the lines of a drawing
Reference 15
Source-reported events for the cited work
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Observation a84c1f10-17d5-4ba2-985e-e029d7b59ffd · outbound
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Reference 16
Source-reported events for the cited work
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Observation 53e9c38c-cbb3-4164-87ce-9d72cf042f84 · outbound
Scoot: A Perceptual Metric for Facial Sketches Texture analysis using grey level run lengths
Reference 17
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Observation f04119be-9e5f-4d93-a90c-40baa3a73d7f · outbound
Scoot: A Perceptual Metric for Facial Sketches Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs
Reference 18
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Scoot: A Perceptual Metric for Facial Sketches Deepsim: Deep similarity for image quality assess- ment
Reference 19
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Observation 061e6024-0488-4e75-a98b-fa5e7d4e79d5 · outbound
Scoot: A Perceptual Metric for Facial Sketches Face sketch–photo synthesis and retrieval using sparse rep- resentation
Reference 20
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Scoot: A Perceptual Metric for Facial Sketches Face sketch synthesis algorithm based on E-HMM and selective ensemble
Reference 21
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Reference 22
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Reference 23
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Scoot: A Perceptual Metric for Facial Sketches Statistical and structural approaches to texture
Reference 24
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Scoot: A Perceptual Metric for Facial Sketches Textu- ral features for image classification
Reference 25
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Scoot: A Perceptual Metric for Facial Sketches Locality preserving projec- tions
Reference 26
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Scoot: A Perceptual Metric for Facial Sketches Image-to-image translation with conditional adver- sarial networks
Reference 27
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Scoot: A Perceptual Metric for Facial Sketches A modified convolutional neural network for face sketch synthesis
Reference 28
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Observation bde4f803-f962-454e-9138-d2c6554b77af · outbound
Scoot: A Perceptual Metric for Facial Sketches Adap- tive representation-based face sketch-photo synthesis
Reference 29
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Scoot: A Perceptual Metric for Facial Sketches Free-hand sketch synthesis with deformable stroke models
Reference 30
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Observation 12514e4c-2549-44b0-8ae4-aba583cf1e58 · outbound
Scoot: A Perceptual Metric for Facial Sketches A nonlinear approach for face sketch synthesis and recognition
Reference 31
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Observation baaa9571-3274-441c-bff4-d23a21a2ada3 · outbound
Scoot: A Perceptual Metric for Facial Sketches Bayesian Tensor Inference for Sketch-Based Facial Photo Hallucination
Reference 32
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Observation cd3d65c8-b2dc-4880-b5ee-013c44080d71 · outbound
Scoot: A Perceptual Metric for Facial Sketches How to evaluate foreground maps? In IEEE CVPR, pages 248–255, 2014
Reference 33
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Observation 9abf3c6d-d546-42e7-beb7-f34c4b388da1 · outbound
Scoot: A Perceptual Metric for Facial Sketches Modeling the shape of the scene: A holistic representation of the spatial envelope
Reference 34
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Observation 421390c8-4ddb-4fce-b720-0bedbcc3da49 · outbound
Scoot: A Perceptual Metric for Facial Sketches Superpixel-based face sketch–photo synthesis.IEEE TCSVT, 27(2):288–299, 2017
Reference 35
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Reference 36
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Reference 37
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Scoot: A Perceptual Metric for Facial Sketches Neural style transfer: a paradigm shift for image-based artistic ren- dering? In ACM NPAR, page 5, 2017
Reference 38
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Reference 39
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Reference 40
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Scoot: A Perceptual Metric for Facial Sketches Lazy random walks for superpixel segmentation
Reference 41
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Scoot: A Perceptual Metric for Facial Sketches Real-time superpixel seg- mentation by DBSCAN clustering algorithm
Reference 42
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Scoot: A Perceptual Metric for Facial Sketches Submodular trajectories for better motion segmentation in videos
Reference 43
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Scoot: A Perceptual Metric for Facial Sketches An isotropic 3×3 image gradient operator
Reference 44
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Scoot: A Perceptual Metric for Facial Sketches Real-time exemplar-based face sketch synthe- sis
Reference 45
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Scoot: A Perceptual Metric for Facial Sketches A benchmark for automatic visual classification of clinical skin disease images
Reference 46
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Reference 47
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Scoot: A Perceptual Metric for Facial Sketches NIMA: Neural image assessment
Reference 48
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Scoot: A Perceptual Metric for Facial Sketches Face sketch synthesis and recognition
Reference 49
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Scoot: A Perceptual Metric for Facial Sketches Face sketch recognition
Reference 50
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Scoot: A Perceptual Metric for Facial Sketches Facial Sketch Synthesis Using 2D Direct Combined Model-Based Face-Specific Markov Network
Reference 51
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Scoot: A Perceptual Metric for Facial Sketches High- quality facial photo-sketch synthesis using multi-adversarial networks
Reference 52
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Scoot: A Perceptual Metric for Facial Sketches Random sampling for fast face sketch synthesis
Reference 53
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Reference 54
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Scoot: A Perceptual Metric for Facial Sketches Bayesian face sketch synthesis
Reference 55
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Reference 56
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Reference 57
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Reference 58
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Reference 59
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Reference 61
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Scoot: A Perceptual Metric for Facial Sketches Random sampling lda for face recognition
Reference 62
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Scoot: A Perceptual Metric for Facial Sketches Random sampling for subspace face recognition
Reference 63
Source-reported events for the cited work
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Reference 64
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Reference 65
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Reference 66
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Reference 67
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Reference 68
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Reference 70
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Reference 71
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Scoot: A Perceptual Metric for Facial Sketches Gradient magnitude similarity deviation: A highly efficient perceptual image quality index
Reference 72
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Scoot: A Perceptual Metric for Facial Sketches Clinical skin lesion diagnosis using representations inspired by dermatologist criteria
Reference 73
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Reference 74
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Scoot: A Perceptual Metric for Facial Sketches End-to-end photo-sketch generation via fully convolutional representation learning
Reference 75
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Observation aa77fe8d-d21d-4c4d-a8c8-914040314ab0 · outbound
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Reference 76
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Reference 77
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Reference 78
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Reference 79
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Scoot: A Perceptual Metric for Facial Sketches The unreasonable effectiveness of deep features as a perceptual metric
Reference 80
Source-reported events for the cited work
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Scoot: A Perceptual Metric for Facial Sketches Robust face sketch style synthesis
Reference 81
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Scoot: A Perceptual Metric for Facial Sketches Face sketch synthesis from a single photo–sketch pair
Reference 82
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Scoot: A Perceptual Metric for Facial Sketches Face sketch synthesis via sparse representation-based greedy search
Reference 83
Source-reported events for the cited work
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Observation d4ba0a17-9dd1-4be3-9179-b97ba8144e0d · outbound
Scoot: A Perceptual Metric for Facial Sketches Robust face sketch synthesis via generative adver- sarial fusion of priors and parametric sigmoid
Reference 84
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Reference 85
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Scoot: A Perceptual Metric for Facial Sketches Lighting and pose robust face sketch synthesis
Reference 86
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Scoot: A Perceptual Metric for Facial Sketches Coupled information-theoretic encoding for face photo-sketch recog- nition
Reference 87
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Reference 88
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Observation b14fc88c-fb92-4ef6-8d01-f7dc739d61f7 · outbound
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Reference 89
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Observation f7f60810-7ffc-4a8f-8c05-9f8270263485 · outbound
Scoot: A Perceptual Metric for Facial Sketches Contrast prior and fluid pyramid integration for RGBD salient object detection
Reference 90
Source-reported events for the cited work
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Observation 24ef0bcf-9562-4698-8490-411aa3faf516 · outbound
Scoot: A Perceptual Metric for Facial Sketches Edge-based network for salient object detection
Reference 91
Source-reported events for the cited work
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Observation 386851e1-69f8-4062-b59a-c8acf21df949 · outbound
Scoot: A Perceptual Metric for Facial Sketches Markov weight fields for face sketch synthesis
Reference 92
Source-reported events for the cited work
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Observation 1dd4f193-e9b4-4dea-959b-9d96c8160957 · outbound
Scoot: A Perceptual Metric for Facial Sketches Deep graphical feature learning for face sketch synthesis
Reference 93
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 90cdfffa-885f-4dff-9832-b6b159481f96 · outbound
Scoot: A Perceptual Metric for Facial Sketches A multilayer-based framework for online background subtraction with freely moving cameras
Reference 94
Source-reported events for the cited work
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Observation 505cb722-ced9-4b68-9bbb-b41be812f9e4 · outbound
Scoot: A Perceptual Metric for Facial Sketches Two stages of curve detection suggest two styles of visual com- putation
Reference 95
Source-reported events for the cited work
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No inbound Pith citation observations are available.