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Paper Citation Record · LEDGER

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning

As of 11 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.20874.

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

pith.paper-citation-record.v1
2607.20874 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:10:45.572292Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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  • verified fuzzy0
  • unresolved42
  • parse uncertain0
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Outbound references

Observation bcfb8ce5-b2b3-4eb4-91ec-54480b013a91 · outbound

This paper cites Cdul: Clip-driven unsupervised learning for multi-label image classification, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Cdul: Clip-driven unsupervised learning for multi-label image classification, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp

Reference 1

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Observation 65a8c91d-4b06-48e6-8da4-f08f3200f692 · outbound

This paper cites Laso: Label-set operations networks for multi-label few-shot learning, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Laso: Label-set operations networks for multi-label few-shot learning, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 2

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Observation c3e66cd5-2e9b-4c06-9a83-1ecbf2baaff8 · outbound

This paper cites Multi-label image recognition with two-stream dynamic graph convolution networks.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Multi-label image recognition with two-stream dynamic graph convolution networks

Reference 3

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Observation d0b76b04-bd16-4ad6-afa9-008aff53bdde · outbound

This paper cites Learning spatial-temporal coherent correlations for speech-preserving facial expression manipulation.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Learning spatial-temporal coherent correlations for speech-preserving facial expression manipulation

Reference 4

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Observation 5a30b941-012e-479a-813e-5e1b1450aa05 · outbound

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

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Knowledge-guided multi-label few-shot learning for general image recognition

Reference 5

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Observation 0ff7e480-50b4-402c-8227-1a73117d8cfd · outbound

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

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Heterogeneous semantic transfer for multi-label recognition with partial labels

Reference 6

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Observation 8817d8b3-50a8-4fa7-b7a4-2b6e45f5171d · outbound

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

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Structured semantic transfer for multi-label recognition with partial labels, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 7

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-01T09:10:40.963207Z digest=sha256:8b5dd453db128d0160e4305addee36baae75923b5071c10d89cb1f25a339e3a7

Observation d25d2d47-1446-4dbc-b03b-4297c6c252d5 · outbound

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

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Cross-domain facial expression recognition: A unified evaluation benchmark and adversarial graph learning

Reference 8

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Observation 35f033f7-9a3d-40a4-80b4-3fcb9cedc554 · outbound

This paper cites Dynamiccorrelationlearningandregularizationformulti-labelconfidence calibration.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Dynamiccorrelationlearningandregularizationformulti-labelconfidence calibration

Reference 9

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Observation 021a5afa-8f47-4423-98fb-c0ba5ea64f69 · outbound

This paper cites Learning semantic-specific graph representation for multi-label image recognition, in: Proceedings of the IEEE International Conference on Computer Vision, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Learning semantic-specific graph representation for multi-label image recognition, in: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 10

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Observation 774cd0d4-4f6e-484e-9dd9-542a49e49763 · outbound

This paper cites Webly supervised learning of convolutional networks, in: Proceedings of the IEEE international conference on computer vision, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Webly supervised learning of convolutional networks, in: Proceedings of the IEEE international conference on computer vision, pp

Reference 11

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Observation bab59a8d-c1c8-4e39-b6dd-3c5be986a316 · outbound

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

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Learning graph convolutional networks for multi-label recognition and applications

Reference 12

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Observation 95de0af0-e311-410f-aac4-3e1420817fd1 · outbound

This paper cites Multi-label image recognition with graph convolutional networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Multi-label image recognition with graph convolutional networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 13

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Observation 24abf0cf-924a-48f1-ba96-0c12156be71a · outbound

This paper cites Imagenet: A large-scale hierarchical image database, in: Computer Vision and Pattern Recognition, 2009.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Imagenet: A large-scale hierarchical image database, in: Computer Vision and Pattern Recognition, 2009

Reference 14

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Observation 5e5c1685-56b4-49f9-ac2d-efcbbaf929e4 · outbound

This paper cites A multi-label classification method based on transformer for deepfake detection.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning A multi-label classification method based on transformer for deepfake detection

Reference 15

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Observation 71ee6bc9-a6d2-4924-b255-9e7f1d18af44 · outbound

This paper cites Learning a deep convnet for multi-label classification with partial labels, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Learning a deep convnet for multi-label classification with partial labels, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 16

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Observation edc671d8-55bd-4f10-bf81-458808df38e1 · outbound

This paper cites Thepascalvisualobjectclasses(voc)challenge.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Thepascalvisualobjectclasses(voc)challenge

Reference 17

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Observation c5ee992b-0a93-41ab-aff5-813892fdb457 · outbound

This paper cites Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 18

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Observation d1755696-f487-4ced-9449-cb6c77ec9621 · outbound

This paper cites Noisy multi-label learning through co-occurrence-aware diffusion.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Noisy multi-label learning through co-occurrence-aware diffusion

Reference 19

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Observation f63b7b65-2690-42be-abf9-1d1ce7526f3e · 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.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Interactive multi-label cnn learning with partial labels, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 20

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Observation 0ad6b7ad-4971-4ae3-b398-29409b55a1ca · outbound

This paper cites Classifier-guided clip distillation for unsupervised multi-label classification, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Classifier-guided clip distillation for unsupervised multi-label classification, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 21

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Observation efa1dc5d-edb3-4c3b-a679-5aa6149213f4 · 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.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Large loss matters in weakly supervised multi-label classification, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 22

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Observation 94b1803b-c301-435c-834c-d088d4c0ea04 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Adam: A Method for Stochastic Optimization

Reference 23

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Observation 34a92adc-1de4-42fd-b941-9dd709e15138 · outbound

This paper cites MoPro: Webly Supervised Learning with Momentum Prototypes.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning MoPro: Webly Supervised Learning with Momentum Prototypes

Reference 24

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Observation c8e932be-4c61-4cbd-99b7-511c0994df6e · outbound

This paper cites WebVision Database: Visual Learning and Understanding from Web Data.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning WebVision Database: Visual Learning and Understanding from Web Data

Reference 25

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Observation dacf5231-9f17-4e37-b12d-8f78d612d234 · outbound

This paper cites Microsoft coco: Common objects in context, in: European Conference on Computer Vision, Springer.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Microsoft coco: Common objects in context, in: European Conference on Computer Vision, Springer

Reference 26

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Observation 1e946248-b65e-45d7-8795-e772be5f396a · outbound

This paper cites Joint multi-label learning and feature extraction for temporal link prediction.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Joint multi-label learning and feature extraction for temporal link prediction

Reference 27

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Observation 0f0e8feb-9126-4c43-a15e-b154a9b2fec5 · outbound

This paper cites Exploringthelimitsofweakly supervised pretraining, in: Proceedings of the European conference on computer vision (ECCV), pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Exploringthelimitsofweakly supervised pretraining, in: Proceedings of the European conference on computer vision (ECCV), pp

Reference 28

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Observation 874e70d5-f69a-4756-b592-2875542b30e7 · outbound

This paper cites Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation

Reference 29

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Observation a3e6d427-d09e-4d15-8d24-3fef7e402867 · outbound

This paper cites Semantic Representation and Dependency Learning for Multi-Label Image Recognition.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Semantic Representation and Dependency Learning for Multi-Label Image Recognition

Reference 30

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Observation 340fd1e1-c539-4b8f-b421-04478b886a8b · outbound

This paper cites Learning transferable visual models from natural language supervision, in: Meila, M., Zhang, T.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Learning transferable visual models from natural language supervision, in: Meila, M., Zhang, T

Reference 31

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Observation 62d5ae41-3f92-4c7b-9b14-4a9ed8d8d815 · outbound

This paper cites Asymmetric loss for multi-label classification, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Asymmetric loss for multi-label classification, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 32

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Observation bd7a62b8-1e1b-4768-a37a-f464de96fd24 · outbound

This paper cites Deep co-image-label hashing for multi-label image retrieval.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Deep co-image-label hashing for multi-label image retrieval

Reference 33

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Observation 90481b7e-f668-4d4c-ba4e-22ac8e552f1d · outbound

This paper cites Meta-learning for multi-label few-shot classification, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Meta-learning for multi-label few-shot classification, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp

Reference 34

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Observation 1091d578-ec41-43b1-b722-2d1700c1fdcd · outbound

This paper cites Very deep convolutional networks for large-scale image recognition, in: Bengio, Y., Le- Cun, Y.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Very deep convolutional networks for large-scale image recognition, in: Bengio, Y., Le- Cun, Y

Reference 35

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Observation 445dda15-b6d2-4bb1-b7be-8646ad3b1d8d · outbound

This paper cites Webly supervised fine-grained recognition: Benchmark datasets and an approach, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Webly supervised fine-grained recognition: Benchmark datasets and an approach, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 36

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Observation 3faff087-6aac-48d8-b098-00c68d29caee · outbound

This paper cites Multi-labelout-of-distributiondetectionviaexploitingsparsityandco-occurrence of labels.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Multi-labelout-of-distributiondetectionviaexploitingsparsityandco-occurrence of labels

Reference 37

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Observation b82c5c9a-be2a-4fcc-902b-64523feb5d5f · outbound

This paper cites Hcp: A flexible cnn framework for multi-label image classification.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Hcp: A flexible cnn framework for multi-label image classification

Reference 38

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Observation 81557247-9311-41b8-bafb-5c19380bef46 · outbound

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

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Adahgnn: Adaptive hypergraph neural networks for multi-label image classification, in: Proceedings of the 28th ACM International Conference on Multimedia (ACMMM), pp

Reference 39

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Observation 0e11bd6b-a4f7-4502-94c6-1fdf2f54b61b · outbound

This paper cites Multi-labelrecognitioninopendrivingscenariosbasedonbipartite-drivensuperimposeddynamicgraph.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Multi-labelrecognitioninopendrivingscenariosbasedonbipartite-drivensuperimposeddynamicgraph

Reference 40

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Observation af60e561-6baa-4143-888e-25e08d516c59 · outbound

This paper cites Attention-drivendynamicgraphconvolutionalnetworkformulti-labelimagerecognition,in: European Conference on Computer Vision, Springer.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Attention-drivendynamicgraphconvolutionalnetworkformulti-labelimagerecognition,in: European Conference on Computer Vision, Springer

Reference 41

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Observation 5aa14706-5893-441b-bfee-6bc2300687ce · outbound

This paper cites Deep semantic ranking based hashing for multi-label image retrieval, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Deep semantic ranking based hashing for multi-label image retrieval, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 42

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Observation 94419678-f7bf-4932-b825-6b24df41fc73 · outbound

This paper cites Towards robust multi-label learning against dirty label noise, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Towards robust multi-label learning against dirty label noise, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, pp

Reference 43

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Observation c98cd271-3dab-4c6e-a0f2-be0574353a70 · outbound

This paper cites Residual attention: A simple but effective method for multi-label recognition, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Residual attention: A simple but effective method for multi-label recognition, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 44

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