Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:57:42.130307Z
Paper Citation Record · LEDGER
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
As of 16 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:1908.02116.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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
Reference resolution
47 of 47 outbound references displayed
- verified exact1
- verified fuzzy41
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5cec4f7a-544a-45c1-8e6e-9c3450c01456 · outbound
This paper cites Learning with pseudo-ensembles.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Learning with pseudo-ensembles
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:44.431319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6645c95b-e9a8-453d-9871-742c22d0edf5 · outbound
This paper cites Curriculum learning.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Curriculum learning
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:44.361732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 49b317b7-014d-4586-a5b7-5ddef7c346dc · outbound
This paper cites Face recognition based on fitting a 3d morphable model.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Face recognition based on fitting a 3d morphable model
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:44.303620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a5a8413-f467-43e0-8a2a-c2ba2022cab3 · outbound
This paper cites Combining labeled and un- labeled data with co-training.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Combining labeled and un- labeled data with co-training
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:44.254742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 23fc7356-02ec-444e-88c2-45d1d5b07c7c · outbound
This paper cites Convolutional aggregation of local evidence for large pose face alignment.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Convolutional aggregation of local evidence for large pose face alignment
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:44.202083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e7a6a593-8659-4008-8459-3ee4a47d0fca · outbound
This paper cites How far are we from solving the 2D & 3D face alignment problem? (and a dataset of 230,000 3D facial landmarks).
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection How far are we from solving the 2D & 3D face alignment problem? (and a dataset of 230,000 3D facial landmarks)
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:44.156435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 530290b7-92ee-470b-bf20-f8e69e80cbba · outbound
This paper cites Face alignment by explicit shape regression.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Face alignment by explicit shape regression
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:44.091709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6c2ca172-6c2a-4f44-bf71-7c8ccfcbe3c7 · outbound
This paper cites Semi-supervised learning.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Semi-supervised learning
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:44.032172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 89465c7e-2c79-4426-a691-73a26b618aa2 · outbound
This paper cites Style aggregated network for facial landmark detection.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Style aggregated network for facial landmark detection
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.998440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation df8a53b3-73ae-42a8-9898-169164a5d98d · outbound
This paper cites Network Pruning via Transformable Architecture Search.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Network Pruning via Transformable Architecture Search
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T14:57:42.255651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e91398a0-f3d0-4bd6-bdd7-63c2ec3512af · outbound
This paper cites Supervision-by-Registration: An unsupervised approach to improve the precision of facial landmark detectors.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Supervision-by-Registration: An unsupervised approach to improve the precision of facial landmark detectors
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.958426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b0ed31b2-8837-47cb-8c48-e16867c92088 · outbound
This paper cites Few-example object detection with model communi- cation.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Few-example object detection with model communi- cation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.897662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 86c1bf53-e29d-4430-a613-132accef7f21 · outbound
This paper cites Learning to teach.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Learning to teach
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.846535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cced2add-c853-4c9a-aec2-d898141fc3f6 · outbound
This paper cites Generative adversarial nets.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Generative adversarial nets
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:57:41.745522Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3719f9b5-a2a2-4470-8384-a51ee2443254 · outbound
This paper cites Distilling the knowledge in a neural network.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Distilling the knowledge in a neural network
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:57:41.766755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 831861d4-0d07-43ee-8047-af8fdf5663d0 · outbound
This paper cites Improving landmark localization with semi-supervised learning.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Improving landmark localization with semi-supervised learning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.710694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6dd373c2-edef-4410-bc0a-53629b841438 · outbound
This paper cites Self-paced curriculum learning.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Self-paced curriculum learning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.650564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 21286e31-83a5-4dec-8c46-7720b6ed8acf · outbound
This paper cites MentorNet: Learning data-driven curriculum for very deep neural networks on corrupted labels.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection MentorNet: Learning data-driven curriculum for very deep neural networks on corrupted labels
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.574783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5a149deb-a045-47e7-9862-efc93622ca61 · outbound
This paper cites Pose- invariant face alignment with a single cnn.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Pose- invariant face alignment with a single cnn
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.529992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 01559f99-ad5a-4028-9b57-d640575ebc34 · outbound
This paper cites Synergy between face alignment and tracking via discriminative global consensus optimization.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Synergy between face alignment and tracking via discriminative global consensus optimization
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.451146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a2d8dd4e-038f-48fb-8006-be7a1aa19e97 · outbound
This paper cites Annotated facial landmarks in the wild: A large- scale, real-world database for facial landmark localization.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Annotated facial landmarks in the wild: A large- scale, real-world database for facial landmark localization
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.404749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 91e6988e-cd70-4da0-883e-bc3a577ce3f0 · outbound
This paper cites Disentangling 3D pose in a dendritic CNN for unconstrained 2D face alignment.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Disentangling 3D pose in a dendritic CNN for unconstrained 2D face alignment
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.370892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 84b66c9a-8e57-4fa2-b846-4f483073aa9d · outbound
This paper cites Self- paced learning for latent variable models.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Self- paced learning for latent variable models
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.346267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2d4c3d3e-fcb6-464b-a2cb-1a07de5dc981 · outbound
This paper cites Teacher and student joint learning for compact facial landmark detection network.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Teacher and student joint learning for compact facial landmark detection network
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.318758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 780328f7-4430-449b-b3d6-bebf5c9d2f3f · outbound
This paper cites Prototype propagation networks (PPN) for weakly-supervised few-shot learning on category graph.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Prototype propagation networks (PPN) for weakly-supervised few-shot learning on category graph
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.259012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 852916df-de69-46db-a53b-9dc96f460528 · outbound
This paper cites Exploring disentangled feature representa- tion beyond face identification.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Exploring disentangled feature representa- tion beyond face identification
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.226024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fe220618-9b1d-4930-b155-50f219762298 · outbound
This paper cites A deep regression architecture with two-stage reinitialization for high performance facial landmark detec- tion.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection A deep regression architecture with two-stage reinitialization for high performance facial landmark detec- tion
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.196474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ad29d5e4-8823-44cf-bbc4-47ecfa12eeba · outbound
This paper cites Self-paced co-training.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Self-paced co-training
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.151554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ebe5830-3ce8-4de8-bc8e-635fbe7182bc · outbound
This paper cites Direct shape regression net- works for end-to-end face alignment.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Direct shape regression net- works for end-to-end face alignment
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.110166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4c5fff3b-3627-4f70-8d58-03ab272dd3cb · outbound
This paper cites Stacked hour- glass networks for human pose estimation.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Stacked hour- glass networks for human pose estimation
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2084037-1cb7-4cf6-9a9d-2c3f63dea280 · outbound
This paper cites Data distillation: Towards omni- supervised learning.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Data distillation: Towards omni- supervised learning
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:43.039841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8e66f3ba-2056-4e1a-8fb4-4180a7355ace · outbound
This paper cites Hy- perface: A deep multi-task learning framework for face de- tection, landmark localization, pose estimation, and gender recognition.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Hy- perface: A deep multi-task learning framework for face de- tection, landmark localization, pose estimation, and gender recognition
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.978729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 430591b8-dfb7-47ee-9cfe-69cc5e603062 · outbound
This paper cites Learning to reweight examples for robust deep learning.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Learning to reweight examples for robust deep learning
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.934994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 20a0d6ef-b373-46d9-98dc-b2901856ffaf · outbound
This paper cites Face alignment via regressing local binary features.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Face alignment via regressing local binary features
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.884699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff0fec57-165d-4f23-b039-77f27066f4de · outbound
This paper cites 300 faces in-the-wild challenge: The first facial landmark localization challenge.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection 300 faces in-the-wild challenge: The first facial landmark localization challenge
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.841019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9de6f48f-7633-49ed-a636-2dc4e614f1d5 · outbound
This paper cites The first facial landmark tracking in-the-wild challenge: Benchmark and results.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection The first facial landmark tracking in-the-wild challenge: Benchmark and results
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.790221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e783ae6e-1b0e-4129-ad45-350c4c8b0fbd · outbound
This paper cites Quantized densely connected u-nets for efficient landmark localization.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Quantized densely connected u-nets for efficient landmark localization
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.755869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 86d84028-7f1e-4c0e-9c3d-3ad9bf70cdc4 · outbound
This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.705911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7b130d54-cd13-409f-9e44-9285baa16d00 · outbound
This paper cites Face2face: Real-time face capture and reenactment of rgb videos.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Face2face: Real-time face capture and reenactment of rgb videos
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.670836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 18300535-9ea3-45c8-8454-12ccb0021843 · outbound
This paper cites Mnemonic descent method: A recurrent process applied for end-to-end face alignment.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Mnemonic descent method: A recurrent process applied for end-to-end face alignment
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.622046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6c9be6ce-a69d-4e9c-85b3-53f86f9f91b9 · outbound
This paper cites Convolutional pose machines.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Convolutional pose machines
Reference 41
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abd425c0-5c1a-4c40-af54-765abcfbe022 · outbound
This paper cites Facial landmark detection with tweaked convolutional neural networks.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Facial landmark detection with tweaked convolutional neural networks
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.532898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e7600a02-f3b3-4428-90cf-54ee7cbcb36e · outbound
This paper cites Recurrent 3d- 2d dual learning for large-pose facial landmark detection.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Recurrent 3d- 2d dual learning for large-pose facial landmark detection
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.491104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a476797e-da95-4345-bf03-e12233fa238e · outbound
This paper cites Supervised descent method and its applications to face alignment.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Supervised descent method and its applications to face alignment
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.446523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ec15b27-a5fa-4cae-bc43-a28e1a2233d0 · outbound
This paper cites AutoLoss: Learning discrete schedules for alternate optimization.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection AutoLoss: Learning discrete schedules for alternate optimization
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.385783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b244202f-ae41-4a1e-9464-1f513b1485a1 · outbound
This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Unpaired image-to-image translation using cycle- consistent adversarial networks
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:57:42.103685Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fafec0ad-c853-47a2-b7fb-a7d778f1c9cf · outbound
This paper cites Unconstrained face alignment via cascaded compo- sitional learning.
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Unconstrained face alignment via cascaded compo- sitional learning
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:57:42.308790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.