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Paper Citation Record · LEDGER

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification

As of 5 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2511.10260.

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2511.10260 v2

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measured 64 of 64 reference resolution

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measured 64 of 64 standing notices

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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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64 of 64 outbound references displayed

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Outbound references

Observation b7887d67-2cc2-4296-839d-ea9521e1e708 · outbound

This paper cites A Survey on Vision Transformer,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification A Survey on Vision Transformer,

Reference 1

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Observation 73c9448d-891d-4ac1-9997-5f9c7540fdbb · outbound

This paper cites Fine-Grained Image Analysis with Deep Learning: A Survey,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Fine-Grained Image Analysis with Deep Learning: A Survey,

Reference 2

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Observation df8000fa-1b72-4747-8cf3-d28ecfa9903e · outbound

This paper cites A Survey on Deep Learning- based Fine-Grained Object Classification and Semantic Segmentation,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification A Survey on Deep Learning- based Fine-Grained Object Classification and Semantic Segmentation,

Reference 3

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Observation 93714c2c-9120-4da6-87ce-e141cac2aee6 · outbound

This paper cites Transformers in Vision: A Survey,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Transformers in Vision: A Survey,

Reference 4

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Observation e0d39fda-641c-45d9-9a69-f8a39dca7df1 · outbound

This paper cites A Vision Transformer for Fine-Grained Classification by Reducing Noise and Enhancing Discriminative Information,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification A Vision Transformer for Fine-Grained Classification by Reducing Noise and Enhancing Discriminative Information,

Reference 5

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Observation 2057c15f-142f-49c7-8183-dc3b76e5aca3 · outbound

This paper cites Multi-Part Token Transformer with Dual Contrastive Learning for Fine-Grained Image Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Multi-Part Token Transformer with Dual Contrastive Learning for Fine-Grained Image Classification,

Reference 6

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Observation 66c0c6b3-576f-4183-a41a-eab5f4be08d3 · outbound

This paper cites Feature Fusion Vision Transformer for Fine-Grained Visual Categorization.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Feature Fusion Vision Transformer for Fine-Grained Visual Categorization

Reference 7

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Observation e511a2b4-81a4-4eb7-8c8d-d7898650bd80 · outbound

This paper cites TransFG: A Transformer Architecture for Fine-Grained Recognition,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification TransFG: A Transformer Architecture for Fine-Grained Recognition,

Reference 8

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Observation b6a11483-a403-40a4-83a3-beb5304a19e7 · outbound

This paper cites Fine-Grained Visual Classifica- tion via Internal Ensemble Learning Transformer,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Fine-Grained Visual Classifica- tion via Internal Ensemble Learning Transformer,

Reference 9

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Observation b981d597-2b47-494f-9fad-a2a932425c85 · outbound

This paper cites Local and Global Logit Adjustments for Long-Tailed Learning,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Local and Global Logit Adjustments for Long-Tailed Learning,

Reference 10

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Observation 12fe468f-d1c5-4a91-90fc-6a2cd53cb33f · outbound

This paper cites SR-GNN: Spatial Relation-Aware Graph Neural Network for Fine-Grained Image Categorization,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification SR-GNN: Spatial Relation-Aware Graph Neural Network for Fine-Grained Image Categorization,

Reference 11

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Observation 26b944e8-685b-48b7-a23f-194bd4e7d915 · outbound

This paper cites Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual Recognition,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual Recognition,

Reference 12

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Observation a6e4cc3b-7dad-42f4-8c19-622d9c08f31a · outbound

This paper cites Hypergraph-Induced Convolutional Networks for Visual Classifica- tion,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Hypergraph-Induced Convolutional Networks for Visual Classifica- tion,

Reference 13

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Observation abc82abb-bf8a-4768-8354-eb15b2272068 · outbound

This paper cites Adaptive Neural Message Passing for Inductive Learning on Hypergraphs,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Adaptive Neural Message Passing for Inductive Learning on Hypergraphs,

Reference 14

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Observation c1a189f2-1ada-41c3-b532-5999520b5489 · outbound

This paper cites HGFormer: Topology-Aware Vision Transformer with Hypergraph Learning,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification HGFormer: Topology-Aware Vision Transformer with Hypergraph Learning,

Reference 15

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Observation 5551a242-040d-4433-b409-203514f50372 · outbound

This paper cites The Caltech-Ucsd Birds-200-2011 Dataset,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification The Caltech-Ucsd Birds-200-2011 Dataset,

Reference 16

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Observation 176bb04c-9bcf-4228-b8db-80e4154f7a4a · outbound

This paper cites Novel Dataset for Fine-Grained Image Categorization: Stanford Dogs,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Novel Dataset for Fine-Grained Image Categorization: Stanford Dogs,

Reference 17

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Observation d762f62b-6bf1-4715-a027-88933b8af137 · outbound

This paper cites Attention is All You Need,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Attention is All You Need,

Reference 18

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Observation f16dee79-3a87-4511-be20-79f11f56f916 · outbound

This paper cites Rams- trans: Recurrent attention multi-scale transformer for fine-grained image recognition,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Rams- trans: Recurrent attention multi-scale transformer for fine-grained image recognition,

Reference 19

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Observation 084c94c2-2f4d-4b52-8aa8-8b20abebac72 · outbound

This paper cites Delving into Multimodal Prompting for Fine-Grained Visual Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Delving into Multimodal Prompting for Fine-Grained Visual Classification,

Reference 20

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Observation aaffaf00-b537-488d-a3a1-750cdec78d55 · outbound

This paper cites Fine-Grained Recognition without Part Annotations,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Fine-Grained Recognition without Part Annotations,

Reference 21

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Observation f897b442-e48f-450a-ac82-711b9d97c4c8 · outbound

This paper cites Bird Species Categorization Using Pose Normalized Deep Convolutional Nets.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Bird Species Categorization Using Pose Normalized Deep Convolutional Nets

Reference 22

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Observation b4897df5-34a0-4ba2-8f1e-acfad5701ede · outbound

This paper cites Fully Convolutional Attention Networks for Fine-Grained Recognition.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Fully Convolutional Attention Networks for Fine-Grained Recognition

Reference 23

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Observation 84442930-003f-4ffb-9f10-33f485b67b9f · outbound

This paper cites Bilinear CNN Models for Fine-Grained Visual Recognition,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Bilinear CNN Models for Fine-Grained Visual Recognition,

Reference 24

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Observation fa58a0e5-cfc6-4327-96d5-911386778e40 · outbound

This paper cites The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification,

Reference 25

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Observation c13493fb-493a-4f7e-bdfb-24054e5fc7aa · outbound

This paper cites Cross-Part Learning for Fine-Grained Image Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Cross-Part Learning for Fine-Grained Image Classification,

Reference 26

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Observation 13b31db7-80dd-48f9-8608-b00a3ae597a0 · outbound

This paper cites Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Bird Species Catego- rization,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Bird Species Catego- rization,

Reference 27

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Observation c6bb50c5-5213-47a2-ad71-ce6c44a94e45 · outbound

This paper cites Part-Guided Relational Trans- formers for Fine-Grained Visual Recognition,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Part-Guided Relational Trans- formers for Fine-Grained Visual Recognition,

Reference 28

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Observation 0130c943-6856-4f08-887c-a3510ef4de0d · outbound

This paper cites Weakly Supervised Posture Min- ing for Fine-Grained Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Weakly Supervised Posture Min- ing for Fine-Grained Classification,

Reference 29

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Observation 0bf7eb90-a82e-48c6-8eab-b312d68daaf8 · outbound

This paper cites Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping,

Reference 30

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Observation a289808f-80c6-4614-bf5f-79fb7196ee93 · outbound

This paper cites Mode Hypergraph Neural Network,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Mode Hypergraph Neural Network,

Reference 31

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Observation ba8ccebc-0563-44e0-9014-f16c706ec0cc · outbound

This paper cites LightHGNN: Distilling Hyper- graph Neural Networks into MLPs for 100x Faster Inference,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification LightHGNN: Distilling Hyper- graph Neural Networks into MLPs for 100x Faster Inference,

Reference 32

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Observation 9b582f07-af3b-45ea-a3b8-509713c5e62e · outbound

This paper cites Hgnn+: General Hypergraph Neural Networks,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Hgnn+: General Hypergraph Neural Networks,

Reference 33

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Observation 158bb067-6583-47bc-a3dc-7240465193fc · outbound

This paper cites Hyper-Yolo: When Visual Object Detection Meets Hypergraph Computation,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Hyper-Yolo: When Visual Object Detection Meets Hypergraph Computation,

Reference 34

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Observation cf1e8691-59f9-40eb-a8f6-0124e22c1879 · outbound

This paper cites Vision Hgnn: An Image Is More Than A Graph of Nodes,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Vision Hgnn: An Image Is More Than A Graph of Nodes,

Reference 35

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Observation 11b21f4b-e54c-4ef1-8551-80cb5b7bae73 · outbound

This paper cites Hyperbolic Category Discovery,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Hyperbolic Category Discovery,

Reference 36

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source=pdf_text observed=2026-08-03T22:31:35.704139Z digest=sha256:5c6b2278299acc9f87b8b2d1d36c66e37ec4ba4b2ca159f7de2c399bd9c6b0f0

Observation 791a6d86-c207-41b5-90c8-dcc32f88e495 · outbound

This paper cites HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning

Reference 37

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source=pdf_text observed=2026-08-03T22:31:35.707246Z digest=sha256:f856e1d8b207b099d32f676723a9e842af306a0ae4fea3c7344f188e539e2d28

Observation 9fd70008-a936-4111-9431-e436f5bba4b6 · outbound

This paper cites Building A Bird Recognition APP and Large Scale Dataset with Citizen Scientists: The Fine Print in Fine- Grained Dataset Collection,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Building A Bird Recognition APP and Large Scale Dataset with Citizen Scientists: The Fine Print in Fine- Grained Dataset Collection,

Reference 38

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source=pdf_text observed=2026-08-03T22:31:35.710626Z digest=sha256:4c89f524997c3e191a31c27cee1d8fe697240a9ea3c08cdb8b4d78e81bc4e6c2

Observation 76301482-ef39-4f46-a535-b5ba034cf8e5 · outbound

This paper cites Automated Flower Classification Over A Large Number of Classes,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Automated Flower Classification Over A Large Number of Classes,

Reference 39

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source=pdf_text observed=2026-08-03T22:31:35.713738Z digest=sha256:0aaae4d3b5bd5fb0cbc69beb16399f6ca0cf9b7325cc60c8409ec93557637ecf

Observation 353fffc3-6511-40bd-a6c6-d8b2ad1ac28b · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Win- dows,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Swin Transformer: Hierarchical Vision Transformer using Shifted Win- dows,

Reference 40

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source=pdf_text observed=2026-08-03T22:31:35.716892Z digest=sha256:9fdeeeadf3835288e62aeeda3a29a2c0f66657d97eb5ffd47651e61325774f7a

Observation ce1f79a4-4625-4815-a8c5-c41238e0c480 · outbound

This paper cites ImageNet-21K Pretraining for the Masses.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification ImageNet-21K Pretraining for the Masses

Reference 41

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source=pdf_text observed=2026-08-03T22:31:35.719971Z digest=sha256:2ecc120062533722edc9726c3a5f074dfb38edbf71660b22e38eee874df1af61

Observation 64bee426-eda8-4373-8931-329726b67187 · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification ImageNet: A Large-Scale Hierarchical Image Database,

Reference 42

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source=pdf_text observed=2026-08-03T22:31:35.723567Z digest=sha256:6aa6f7b16c4a8eadcd4cbb0c1e6d0bd650f21fd6b6116221d4f66bea280bc07c

Observation a8b421da-16e8-4f61-a1d7-1824e9b66905 · outbound

This paper cites An Attention- Locating Algorithm for Eliminating Background Effects in Fine-Grained Visual Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification An Attention- Locating Algorithm for Eliminating Background Effects in Fine-Grained Visual Classification,

Reference 43

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source=pdf_text observed=2026-08-03T22:31:35.727014Z digest=sha256:25166a528f4630ca8176c1ae03dd93b8d6b61d694462d04eab006151e4dd21de

Observation c30997f0-9da9-41b9-aa60-e553e3fdc949 · outbound

This paper cites Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization,

Reference 44

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source=pdf_text observed=2026-08-03T22:31:35.730356Z digest=sha256:a477879e022266dff54deade4c35766e097b8b6af33619b0226d9d00a33c91a3

Observation 4b6f3f12-87f6-4e32-9291-8fb5ef83771c · outbound

This paper cites Fine-Grained Visual Categorization by Localizing Object Parts with Single Image,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Fine-Grained Visual Categorization by Localizing Object Parts with Single Image,

Reference 45

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source=pdf_text observed=2026-08-03T22:31:35.733243Z digest=sha256:e7ac532f4130b5387b9f0e1d76b70bd9625a478657a2a261b09da4aa44da1639

Observation 7cfff930-ae46-4319-bec9-737c21eebf81 · outbound

This paper cites AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification,

Reference 46

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source=pdf_text observed=2026-08-03T22:31:35.736466Z digest=sha256:a60f30375ee31a2a1f89f87342b4c30f0e4cc2471a996382857b3a8201185c00

Observation ae3f06f3-e473-462f-bcf6-64a50fdb63dd · outbound

This paper cites Fine-Grained Object Classification via Self-Supervised Pose Alignment,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Fine-Grained Object Classification via Self-Supervised Pose Alignment,

Reference 47

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source=pdf_text observed=2026-08-03T22:31:35.739686Z digest=sha256:6f5b775ff3e19b2eade6d04a9bc05b6475bcf5937401826548f3e76e66372040

Observation ac2d69f8-ee93-4708-88ff-8257478b6952 · outbound

This paper cites Granularity-Aware Distillation and Structure Modeling Region Proposal Network for Fine- Grained Image classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Granularity-Aware Distillation and Structure Modeling Region Proposal Network for Fine- Grained Image classification,

Reference 48

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source=pdf_text observed=2026-08-03T22:31:35.743032Z digest=sha256:8b26571b3cf816f052b0304b0310929de6af90bf36b30f655500cae79a3c1ea5

Observation b3ad7450-1f7f-4be1-9e78-399008d76cb0 · outbound

This paper cites Learning Mutually Exclusive Part Rep- resentations for Fine-Grained Image Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Learning Mutually Exclusive Part Rep- resentations for Fine-Grained Image Classification,

Reference 49

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source=pdf_text observed=2026-08-03T22:31:35.746360Z digest=sha256:454c3253eb76cc07b8c65ff8cf7cfc26dd416f8cad70f7b4d3a15712767c8946

Observation 3bcc7dba-141b-46aa-a931-5c92b3c009c4 · outbound

This paper cites Vit-Net: Interpretable Vision Transform- ers with Neural Tree Decoder,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Vit-Net: Interpretable Vision Transform- ers with Neural Tree Decoder,

Reference 50

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source=pdf_text observed=2026-08-03T22:31:35.749391Z digest=sha256:df4f901bc14f5c28d33722e062df8aa81a70643907d1edbe418494ea5787dd7a

Observation 5c02d505-18dd-4480-a42f-3c7090a80aed · outbound

This paper cites TransIFC: Invariant Cues-Aware Feature Concentration Learning for Efficient Fine- Grained Bird Image Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification TransIFC: Invariant Cues-Aware Feature Concentration Learning for Efficient Fine- Grained Bird Image Classification,

Reference 51

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source=pdf_text observed=2026-08-03T22:31:35.752295Z digest=sha256:11fb6bef40e871765992bfc2cbb5a42f5bb566f065dbb4e19c87f16a84a60353

Observation ac10e22f-fbb9-4234-b8dd-e609762b34dc · outbound

This paper cites Learning Attentive Pairwise In- teraction for Fine-Grained Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Learning Attentive Pairwise In- teraction for Fine-Grained Classification,

Reference 52

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source=pdf_text observed=2026-08-03T22:31:35.755681Z digest=sha256:5302b594c7ea4f6266cf601a1a5aad937ea491936f649b3ec6868fc5a74e72b5

Observation 22a239e1-1c6d-4ed5-b4d0-66ab00403589 · outbound

This paper cites Context-Aware Attentional Pooling for Fine-Grained Visual Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Context-Aware Attentional Pooling for Fine-Grained Visual Classification,

Reference 53

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source=pdf_text observed=2026-08-03T22:31:35.758684Z digest=sha256:58ec886d8f931c67142c467fadd7253f0d5882a43ec9826a426ea2e6e00292c3

Observation 1af315bb-d278-46b0-854c-f147e5cca7ec · outbound

This paper cites Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification,

Reference 54

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source=pdf_text observed=2026-08-03T22:31:35.761810Z digest=sha256:d45502cfc78118d2de645673def82ed5cbe23fce3c01a4ab170d164e777f5c71

Observation 41f9e877-13dd-4084-b892-e41945b69560 · outbound

This paper cites PBC: Polygon- based Classifier for Fine-Grained Categorization,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification PBC: Polygon- based Classifier for Fine-Grained Categorization,

Reference 55

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source=pdf_text observed=2026-08-03T22:31:35.764890Z digest=sha256:61e9a0a939f66c62d507c3342b3a15b3449f415e673f98a7e2131ca4f6468e63

Observation b00d3291-3f85-4eb4-b178-ad049d9f077b · outbound

This paper cites Interactive: Inter- Layer Activeness Propagation,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Interactive: Inter- Layer Activeness Propagation,

Reference 56

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source=pdf_text observed=2026-08-03T22:31:35.767966Z digest=sha256:3780b80856aba8ba361677ce7ac77c2f1b07aa86f4bbc7107e20f6244eb6b225

Observation 8d7174d3-8b38-4bf1-adc4-8275c8968e1a · outbound

This paper cites Borrowing Treasures from The Wealthy: Deep Transfer Learning Through Selective Joint Fine-Tuning,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Borrowing Treasures from The Wealthy: Deep Transfer Learning Through Selective Joint Fine-Tuning,

Reference 57

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source=pdf_text observed=2026-08-03T22:31:35.770870Z digest=sha256:e7d52bd51fc82429d78363fc701916ef1f4a59ccd46c9f9e2cd23a4115044c9e

Observation 67b7d088-f7e2-4ae3-a0b4-9bbb6ab06431 · outbound

This paper cites Object-Part Attention Model for Fine- Grained Image Classification,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Object-Part Attention Model for Fine- Grained Image Classification,

Reference 58

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source=pdf_text observed=2026-08-03T22:31:35.773738Z digest=sha256:c95637433a543d0f88245fad448adf17e04df0d0bd7af43d6efeface8584e87e

Observation 20484f70-6185-4e9b-887f-b4455fe4f235 · outbound

This paper cites Large scale Fine-Grained Categorization and Domain-Specific Transfer Learning,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Large scale Fine-Grained Categorization and Domain-Specific Transfer Learning,

Reference 59

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source=pdf_text observed=2026-08-03T22:31:35.777107Z digest=sha256:a1c06f327ec5c5fc8aea5ca8e2e232f98a6d9366133a738a8fccfe9ff8e6bb28

Observation 005f3291-8095-45ce-ac69-995fc79024c0 · outbound

This paper cites Learning A Mixture of Granularity-Specific Experts for Fine-Grained Categorization,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Learning A Mixture of Granularity-Specific Experts for Fine-Grained Categorization,

Reference 60

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source=pdf_text observed=2026-08-03T22:31:35.780548Z digest=sha256:ef7e5e6927ebfe78e809ab80760cb738ff93a2be3c59290a0db8b06c46707afe

Observation 4404397d-af7d-4bae-9fef-20ac00d932e8 · outbound

This paper cites Deep Learning on Small Datasets without Pre- training Using Cosine Loss,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Deep Learning on Small Datasets without Pre- training Using Cosine Loss,

Reference 61

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source=pdf_text observed=2026-08-03T22:31:35.783718Z digest=sha256:acdc4cdd171e1860d1e898264c4dfa41c341aeeee318c1c8f948fc4a3a73b58e

Observation 6cb01f02-dad8-44eb-85a9-8cafc9ddb129 · outbound

This paper cites Bi-Modal Progres- sive Mask Attention for Fine-Grained Recognition,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Bi-Modal Progres- sive Mask Attention for Fine-Grained Recognition,

Reference 62

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source=pdf_text observed=2026-08-03T22:31:35.786778Z digest=sha256:dbf3c9a303b026eeb6622ebf06bf26fe47b6a4cc6f30cb033ff0b0f74deb5389

Observation 7b3ef5e0-f0fa-4268-bd9d-b181fac0b45c · outbound

This paper cites SoftHGNN: Soft Hypergraph Neural Networks for General Visual Recognition.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification SoftHGNN: Soft Hypergraph Neural Networks for General Visual Recognition

Reference 63

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source=pdf_text observed=2026-08-03T22:31:35.789792Z digest=sha256:739e60fc84a3f7a91a657fd02ec292b44b46c9978081a7821347ca994c5206d2

Observation 40a21e0b-e8b3-4865-b208-a7069fadd477 · outbound

This paper cites Understanding Hyperbolic Metric Learning through Hard Negative Sampling,.

H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification Understanding Hyperbolic Metric Learning through Hard Negative Sampling,

Reference 64

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source=pdf_text observed=2026-08-03T22:31:35.793234Z digest=sha256:3b503396ee693533120ce5b9f30fef8bfa4cc6dae3051bce35e1e04eec3e9bc8

Pith citing papers

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