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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 6 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

Coverage vector

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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Source: cited_works

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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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source=pdf_text observed=2026-08-03T22:31:35.700559Z digest=sha256:bef5ab8916eace47b71730ce51070e41d8c50c7198deafd3d7acc314a761fe08

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:aa47d9e45a3893653c255e95ffa43b9704cb42894253127e825f9d42444e252a

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:af7376eef1191b0fcec3721be2a7349b65c261e9411064bd5b0a0a1133be7777

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=sha256:642dbb585395aac983b6f8f8a3445b555db35efed0f96c6b67ef448576e37eeb

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:d4d639d894877a486331f1417938439b3d7bcc0e69a28f9e697d2e6ce37d5ad6

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=sha256:627892a24c4976bfb9bf08609b3e72eeb315abb727cea88bc3c45628d9ba524d

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=sha256:0e257db65314986acc400cc61afbc85914d6c5f938a75aced01b914267db02e4

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=sha256:3db5f4626bde26ad7602efeab002818b3ea3ea43d8b58b5a561d838efaee183c

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=sha256:9a647f4a55960466bdde100f6a364caae69e094095f7b31704d2784dba39efc8

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:b4a83bc7b5ef1a65e638f5a6960771c72d594f6022148c8540ce5637796cb118

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:f03ad3181ce94178014db2d688c7710d53503bdd7b9e1fec9d37db15ec062d32

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=sha256:21cd6918ba9212b8ef890bb97faa4752730841f698fe1928ad28ab3876ac5422

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:eea299ac5dd055b3f18d2b72ddef2a05387430d31a6d6e40f6577c21e9827e6f

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=sha256:854d538011a728d0b6548107b30df17cd6e8b1c28e581bee57d1ade897064c02

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:f9f9b19dc2d2f11a6ed757723462f1897407bca408bc874913d9524a890b4f89

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:d9b490f23caccd2e61628337db78916fc0dd9d031eb0ed3de12f21bea063f4e8

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=sha256:8461001ed9b0c214ea7e565d76aabd57764b7c873ba56d4e84f16a9e022155c4

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=sha256:1b3e25594d01b9be8cc2be5efbb4a98642d86c4a1e7e646172dfadec7f75d64f

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:a3db1a7b79da95cce5e4fdd3fc3bdef5b234cc0729023a208ed2942fa7341881

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=sha256:5fc391c02843dd0e4c083cf769cc1e89a58d68e7ca778b957f791d07ea1acb89

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=sha256:17926b0b9b607d7c1b6ecab201ffc14cedbe7df7adf65e1335248624e05b9785

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:c9d49b0f70596ef7951e02d806a7c79555f4c07ec5cf1dce538dff1584bdd487

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:d6cf5790395c41230ae1b572aafeb7214eac1ba70363db06032a6504826f30d7

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:fc942a96d4271d0628bfe214d32be4bbebf9befaca4e71e170f9cd56c7d99707

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:d27ac06a1b2593cee644d2d65e0db8afb39dbb79cba0112a1072e8a888065074

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=sha256:63a3fc7b48a477c0f92182cf256e038a467b5267e301d3f8d4e1e416398f2b65

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=sha256:46d27747be8e1058612e399cc4fd5036fcc7da76387de2ebc47807621797fd48

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:ffd2af58f267216f23e59cb467a494edfd96cf6768da70a64677b8c321a878e0

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:ecdecd2c5dbef6db5f97f7cfacd7af9f00042ce3d9eba443fe22d796f088368f

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=sha256:7e92184be0770cde66516479d46f0185e3073f9fefc09c4c22098cae89832b17

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