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Paper Citation Record · LEDGER

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels

As of 9 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.23263.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.23263 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:01:04.478449Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

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  • verified fuzzy42
  • unresolved8
  • parse uncertain0
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  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61e1a6c9-2c79-4537-b9c7-ac544fdef6cf · outbound

This paper cites an unresolved cited work.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Unresolved cited work

Reference 1

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Observation 2738aaa9-21a4-4c15-8543-cb64776351cb · outbound

This paper cites an unresolved cited work.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Unresolved cited work

Reference 2

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Observation 52ed7591-f9bf-4ee8-a978-554762371dc9 · outbound

This paper cites Knowledge-guided multi-label few-shot learning for general image recognition.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Knowledge-guided multi-label few-shot learning for general image recognition

Reference 3

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Observation 9891c634-a179-415c-b893-7b26e489a71e · outbound

This paper cites Heterogeneous semantic transfer for multi-label recognition with partial labels.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Heterogeneous semantic transfer for multi-label recognition with partial labels

Reference 4

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Observation f4de57d7-670c-4cbd-aee2-7c9b9ee7dfc1 · outbound

This paper cites Structured semantic transfer for multi-label recognition with partial labels, in: Proceedings of the AAAI conference on artificial intelligence, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Structured semantic transfer for multi-label recognition with partial labels, in: Proceedings of the AAAI conference on artificial intelligence, pp

Reference 5

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Observation 74751a08-fcc1-4667-bbfe-9923fc76a367 · outbound

This paper cites Cross-domain facial expression recognition: A unified evaluation benchmark and adver- sarial graph learning.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Cross-domain facial expression recognition: A unified evaluation benchmark and adver- sarial graph learning

Reference 6

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Observation d5f6dbfa-5fd9-49f1-8968-737bc7734dd7 · outbound

This paper cites Dy- namic correlation learning and regularization for multi-label confidence calibration.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Dy- namic correlation learning and regularization for multi-label confidence calibration

Reference 7

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Observation 2f9cfef9-3245-411a-a74e-6cef26c4089b · outbound

This paper cites Recurrent attentional reinforce- ment learning for multi-label image recognition, in: Proceedings of the AAAI conference on artificial intelligence.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Recurrent attentional reinforce- ment learning for multi-label image recognition, in: Proceedings of the AAAI conference on artificial intelligence

Reference 8

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Observation e9d68864-2172-4df1-8df4-81484c022616 · outbound

This paper cites Learning semantic- specific graph representation for multi-label image recognition, in: Pro- ceedings of the IEEE/CVF international conference on computer vision, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Learning semantic- specific graph representation for multi-label image recognition, in: Pro- ceedings of the IEEE/CVF international conference on computer vision, pp

Reference 9

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Observation a90bb4d4-63bc-4841-8b11-d225f2113e73 · outbound

This paper cites Multi-label image recognition with graph convolutional networks, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Multi-label image recognition with graph convolutional networks, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 10

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Observation 4f6c7e98-b79f-42b4-8ae4-6d908f7f21b4 · outbound

This paper cites Learning graph con- volutional networks for multi-label recognition and applications.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Learning graph con- volutional networks for multi-label recognition and applications

Reference 11

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Source-reported events for the cited work

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Observation 01036f29-116e-48b5-b3a0-2dbdae9524b9 · outbound

This paper cites A semantic learning for content-based image retrieval using analytical hierarchy pro- cess.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels A semantic learning for content-based image retrieval using analytical hierarchy pro- cess

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 0b44f83b-b01e-4bb5-a035-0b2b849333de · outbound

This paper cites Ghrs: Graph-based hybrid recom- mendation system with application to movie recommendation.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Ghrs: Graph-based hybrid recom- mendation system with application to movie recommendation

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 338d2e87-8936-4c4e-a2e3-d3845fef3b42 · outbound

This paper cites Learning a deep convnet for multi-label classification with partial labels, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Learning a deep convnet for multi-label classification with partial labels, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a210626d-4503-48fe-8408-6a3446279246 · outbound

This paper cites Learning to discover multi-class attentional regions for multi-label image recognition.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Learning to discover multi-class attentional regions for multi-label image recognition

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 688c3d18-b19f-4d7a-9b61-1137ccdff4ee · outbound

This paper cites Interactive multi-label cnn learning with partial labels, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Interactive multi-label cnn learning with partial labels, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b2b94890-379b-4dad-8308-5055f0760973 · outbound

This paper cites an unresolved cited work.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Unresolved cited work

Reference 17

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Observation 337688a6-1e80-49e0-afe2-12fe9ad9f58f · outbound

This paper cites Large loss matters in weakly supervised multi-label classification, in: Proceedings of the IEEE /CVF Conference on Computer Vision and Pattern Recognition, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Large loss matters in weakly supervised multi-label classification, in: Proceedings of the IEEE /CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 18

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Source-reported events for the cited work

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Observation bde72970-7a7c-451f-8ef3-2efb30ebe5f9 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image anno- tations.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Visual genome: Connecting language and vision using crowdsourced dense image anno- tations

Reference 19

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verified fuzzy
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Source-reported events for the cited work

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Observation 646843ec-7071-42d6-8d7b-958100944b54 · outbound

This paper cites Exploiting weakly supervised visual patterns to learn from partial annotations.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Exploiting weakly supervised visual patterns to learn from partial annotations

Reference 20

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Source-reported events for the cited work

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Observation 4638aec2-826d-4c5d-b7ae-f3c54cce505f · outbound

This paper cites Instance-aware hashing for multi-label image retrieval.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Instance-aware hashing for multi-label image retrieval

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f8f77607-abdd-4c94-9a8e-89e13e764a9a · outbound

This paper cites Rethinking pseudo labels for semi-supervised object detection, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Rethinking pseudo labels for semi-supervised object detection, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ef7118aa-24bd-440c-83f0-401a50189d19 · outbound

This paper cites Technique of image retrieval based on multi-label image annotation, in: 2010 Second Interna- tional Conference on Multimedia and Information Technology, IEEE.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Technique of image retrieval based on multi-label image annotation, in: 2010 Second Interna- tional Conference on Multimedia and Information Technology, IEEE

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f4c23691-3094-4c8b-acfd-d68f80c19f33 · outbound

This paper cites A multi-label, semi-supervised classification approach applied to personality prediction in social media.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels A multi-label, semi-supervised classification approach applied to personality prediction in social media

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1802d588-64c9-41de-ba40-caf01c6428a9 · outbound

This paper cites Microsoft coco: Common objects in context, in: Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, Springer.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Microsoft coco: Common objects in context, in: Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, Springer

Reference 25

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Source-reported events for the cited work

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Observation d399485d-29c7-4168-b3d0-2fb660d47158 · outbound

This paper cites Label-specific feature selection and two-level label recovery for multi-label classification with missing labels.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Label-specific feature selection and two-level label recovery for multi-label classification with missing labels

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation debb3db2-3d85-4911-92c0-42d61a548ae1 · outbound

This paper cites Multi-label zero-shot learning with graph convolutional networks.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Multi-label zero-shot learning with graph convolutional networks

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 75872f8d-b2b8-4506-b806-e3addfc76800 · outbound

This paper cites Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.924273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 553c6552-aa35-4c6d-a4c1-1ff5784ea041 · outbound

This paper cites Au-expression knowledge constrained representation learning for facial expression recognition, in: 2021 IEEE international conference on robotics and automation (ICRA), IEEE.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Au-expression knowledge constrained representation learning for facial expression recognition, in: 2021 IEEE international conference on robotics and automation (ICRA), IEEE

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.911624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cd75ebfd-37f3-40d4-95f4-df5088c2a568 · outbound

This paper cites Asymmetric loss for multi-label classification, in: Proceedings of the IEEE /CVF international conference on computer vision, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Asymmetric loss for multi-label classification, in: Proceedings of the IEEE /CVF international conference on computer vision, pp

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.899025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ae35ef62-d31a-45e7-92db-81b2b577bcbb · outbound

This paper cites In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning

Reference 31

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:01:04.397256Z digest=sha256:cf554f4bded0eac76017745842fa89b5e4e5853a4781eaac3ad1e7e0c0dba10c

Observation 94a4a378-0ff9-4d4e-82e0-68fe9c3eeeee · outbound

This paper cites Learning semantic-aware representation in visual-language models for multi-label recognition with partial labels.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Learning semantic-aware representation in visual-language models for multi-label recognition with partial labels

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.886179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.401324Z digest=sha256:c155391b02366d437d02250015fef25a33a23205cd683748ace684c7e6131ce9

Observation 67c08032-d738-4206-bc72-271100602f3d · outbound

This paper cites Fixmatch: Simplifying semi- supervised learning with consistency and confidence.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Fixmatch: Simplifying semi- supervised learning with consistency and confidence

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.873593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.404883Z digest=sha256:6e813a338e23d5fe8326a494442f02d636c0e0d4e17e6f37d4c7dc161660b10a

Observation 79ca4516-e458-44ca-a093-2a4fe93ef3e9 · outbound

This paper cites Revisiting unrea- sonable effectiveness of data in deep learning era, in: Proceedings of the IEEE international conference on computer vision, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Revisiting unrea- sonable effectiveness of data in deep learning era, in: Proceedings of the IEEE international conference on computer vision, pp

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.861416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.408746Z digest=sha256:6ebcbab69efe9b57c3b258e695aec33a81e0c02f2645b38b87c3d4f41724032b

Observation 1091e5b5-0293-4820-9970-026f34a94df0 · outbound

This paper cites Multi-label image categorization with sparse factor representation.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Multi-label image categorization with sparse factor representation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.848952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.412450Z digest=sha256:4500d728d7ad69e5ca070734746409e78bc14e9052e41e83b0c72b97209f45b1

Observation 1e8eca21-e515-47be-8c25-e55d22733cf9 · outbound

This paper cites Image classification with multi-view multi-instance metric learning.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Image classification with multi-view multi-instance metric learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.836325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.417126Z digest=sha256:979931e79f7c21711f71815c576ac76c413b61a727355d4749ae9aebd5968dac

Observation 1956d775-5ab0-4423-b499-9699f3615761 · outbound

This paper cites Causal multi-label learning for image classification.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Causal multi-label learning for image classification

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.822921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.421653Z digest=sha256:35312e883086847ddeef8df5b4a7832d8b4da81f036ee852db22448fd6ac12a2

Observation 4c3382d0-fe63-4a2f-afda-92e330291f11 · outbound

This paper cites Multi-label classification: An overview.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Multi-label classification: An overview

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.809813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.425261Z digest=sha256:abda165f14c1dca8d05b6e83601a26c8a5b0b253c414b4319e75c91f28e4ce5e

Observation d82f3c77-a4a0-403a-bcc7-ebf7deca6082 · outbound

This paper cites Pico: Contrastive label disambiguation for partial label learning, in: In- ternational Conference on Learning Representations.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Pico: Contrastive label disambiguation for partial label learning, in: In- ternational Conference on Learning Representations

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.796445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.428959Z digest=sha256:f0036274a2f3d8f2614570f03a997a1d21ee5168b9f9fbe9968963c956be19a2

Observation af5eb364-273a-4cd6-ab87-8f974ecd5e20 · outbound

This paper cites Cnn- rnn: A unified framework for multi-label image classification, in: Pro- ceedings of the IEEE conference on computer vision and pattern recogni- tion, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Cnn- rnn: A unified framework for multi-label image classification, in: Pro- ceedings of the IEEE conference on computer vision and pattern recogni- tion, pp

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.782739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.432545Z digest=sha256:066371c17552f2c1b8f036d7fd869435e32014843e6c9c599eabd9e2eba72811

Observation a6e5745e-a07b-4cf9-aeec-1a493f8969fc · outbound

This paper cites Image emotion multi-label classification based on multi-graph learning.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Image emotion multi-label classification based on multi-graph learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.769205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.436377Z digest=sha256:74eabae6ffec3997eea631d5af3de56d8e82ded88cc4cb3d82880cbca0d8c247

Observation 1c031867-0a3d-41d6-868f-86328dfc8d0b · outbound

This paper cites Multi-label image recog- nition by recurrently discovering attentional regions, in: Proceedings of the IEEE international conference on computer vision, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Multi-label image recog- nition by recurrently discovering attentional regions, in: Proceedings of the IEEE international conference on computer vision, pp

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.755995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.440131Z digest=sha256:1d66a91a310bfb82de0b45f4c761853be2c999b197da0595300347cbcd32f623

Observation a1e72eb2-c73e-4d08-94d0-453b950900ff · outbound

This paper cites an unresolved cited work.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:01:04.741832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.444036Z digest=sha256:45dc6f9c3de2a774daa18e09c1a4d78e28c027b4e0b510b177c1ca7e23dab5bd

Observation e38208da-4785-4933-a76b-0cdc0d8158d3 · outbound

This paper cites Instance- aware representation learning and association for online multi-person tracking.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Instance- aware representation learning and association for online multi-person tracking

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.715922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.451644Z digest=sha256:7c89ad42b326659034a49c1703608a061540571ddf2fb13a88df700608142da3

Observation f1a5b3e5-8e6b-4a31-b381-e37a9584467e · outbound

This paper cites Adahgnn: Adaptive hypergraph neural networks for multi-label image classification, in: Pro- ceedings of the 28th ACM International Conference on Multimedia, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Adahgnn: Adaptive hypergraph neural networks for multi-label image classification, in: Pro- ceedings of the 28th ACM International Conference on Multimedia, pp

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.702725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.455650Z digest=sha256:6e85b5b1cae22dce1fb4cf1b5e9b123d17d346bff2c0eccfef4f0e22f3968b90

Observation cca37097-941b-4070-ba4c-319139c3dbbb · outbound

This paper cites Ex- ploit bounding box annotations for multi-label object recognition, in: Pro- ceedings of the IEEE conference on computer vision and pattern recogni- tion, pp.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Ex- ploit bounding box annotations for multi-label object recognition, in: Pro- ceedings of the IEEE conference on computer vision and pattern recogni- tion, pp

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.688957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.459377Z digest=sha256:e6df5336e88563fc2dcc5fedc0a5e1dc5fc956b16137851b8c28c20f9e6a40fb

Observation 68c4a94e-3c49-48c6-a492-f56e2d5c7be1 · outbound

This paper cites Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.674976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.463074Z digest=sha256:9dff8f9a9cc781698097eaa765573d48eb3110eba0d7db74ecbbb2a7ec458536

Observation 5019b487-1f2a-4a9e-9a6f-a164637a47d3 · outbound

This paper cites Graph embedding based multi-label zero-shot learning.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Graph embedding based multi-label zero-shot learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.660910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.467320Z digest=sha256:1a0848803935c1d8e3d67fd2e6f723e9e60b2d526234f6fee7bbca4016c1bb88

Observation 673d06ec-f457-4b04-b79d-2cbbea4109b8 · outbound

This paper cites an unresolved cited work.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:01:04.646672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.470927Z digest=sha256:4a39577cc20fca06f43851d0207ae5aaba760af228cecbee61b6e9f6a0b693d5

Observation d540064f-ab64-489c-a013-64c846b36b91 · outbound

This paper cites Instance-weighted Central Similarity for Multi-label Image Retrieval.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Instance-weighted Central Similarity for Multi-label Image Retrieval

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:01:04.519600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.474563Z digest=sha256:cc34f674229e4d32911baeec72cb08e588d9cc4dfe8627872ed42eb543ed4244

Observation 4bde2589-d4fe-4501-b226-53e72c5b6611 · outbound

This paper cites an unresolved cited work.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:01:04.632743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.478449Z digest=sha256:ec988907b6b42694998e3e0cc47595b3dd566ce95dde8285b647869de67ccc01

Observation d49a9ecf-ff53-499f-8391-c9960ebd2933 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence 38, 1901– 1907.

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels IEEE transactions on pattern analysis and machine intelligence 38, 1901– 1907

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:04.728732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:01:04.447743Z digest=sha256:58639959cd7827e7533dc91dce31a725f968ed2aa096c8bda4baa91d1d6c0b07

Pith citing papers

No inbound Pith citation observations are available.