PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion | Paper Citation Record

Observation 3e8351c2-5557-4760-96b6-583a0437e91c · outbound

This paper cites Long-tail learning with foundation model: Heavy fine-tuning hurts,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Long-tail learning with foundation model: Heavy fine-tuning hurts,

Reference 1

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Observation fa9f4e46-5cf2-450b-a333-b61f5d0816c7 · outbound

This paper cites The pareto, zipf and other power laws,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion The pareto, zipf and other power laws,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:02.689450Z

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Observation aa9bc264-66d7-48ba-8c05-26ebc93cf09b · outbound

This paper cites Large-scale long-tailed recognition in an open world,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Large-scale long-tailed recognition in an open world,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:02.572537Z

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Observation 25f5f66a-5f3d-4041-bfa0-bc86dc575919 · outbound

This paper cites Deep long-tailed learning: A survey,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Deep long-tailed learning: A survey,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:02.427318Z

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Observation 71aa160a-29a9-4274-9617-5ff53b3dd9c8 · outbound

This paper cites thesis, Hong Kong Baptist University, 2022.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion thesis, Hong Kong Baptist University, 2022

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:02.226329Z

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Observation 3b04d26b-7794-443b-9d7c-c5fd96b74a8b · outbound

This paper cites SMOTE: synthetic minority over-sampling technique,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion SMOTE: synthetic minority over-sampling technique,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:02.093969Z

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Observation 5b43d7bb-aebf-49d2-95bb-b19551428a5d · outbound

This paper cites Learning deep representation for imbalanced classification,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Learning deep representation for imbalanced classification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:01.898478Z

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Observation 88c64ec9-06f6-4a95-94cd-d9fab48050d2 · outbound

This paper cites M2m: Imbal- anced classification via major-to-minor translation,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion M2m: Imbal- anced classification via major-to-minor translation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:01.725530Z

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Observation 5a821a06-a9fd-4f7d-aaac-24c588466d73 · outbound

This paper cites RSG: A simple but effective module for learning imbalanced datasets,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion RSG: A simple but effective module for learning imbalanced datasets,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:01.522521Z

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Observation 7565d919-5630-4001-8281-fdc66ca22cf2 · outbound

This paper cites MetaSAug: Meta semantic augmenta- tion for long-tailed visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion MetaSAug: Meta semantic augmenta- tion for long-tailed visual recognition,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:01.375605Z

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Observation 50399ca9-7a01-4349-b8f5-420f40b8cd86 · outbound

This paper cites The majority can help the minority: Context- rich minority oversampling for long-tailed classification,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion The majority can help the minority: Context- rich minority oversampling for long-tailed classification,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:01.206169Z

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Observation 050ffb85-c4a4-4ffe-9582-a0dcd8de3b22 · outbound

This paper cites BBN: Bilateral-branch network with cumulative learning for long-tailed visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion BBN: Bilateral-branch network with cumulative learning for long-tailed visual recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:01.022686Z

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Observation 4991eaad-e8e6-4665-a27a-9242673c0552 · outbound

This paper cites Decoupling represen- tation and classifier for long-tailed recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Decoupling represen- tation and classifier for long-tailed recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:00.846639Z

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Observation fb533ecf-0608-4c08-96e3-7dd193d2428d · outbound

This paper cites Long-tailed recognition by routing diverse distribution- aware experts,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Long-tailed recognition by routing diverse distribution- aware experts,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:00.673368Z

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Observation 731d2d29-4999-495b-a2f8-5e2c174b0f9e · outbound

This paper cites The devil is in classifi- cation: A simple framework for long-tail instance segmentation,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion The devil is in classifi- cation: A simple framework for long-tail instance segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:00.510700Z

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Observation ca54fd38-c3d8-49dd-9d0b-006137c21f28 · outbound

This paper cites Trustworthy long-tailed classification,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Trustworthy long-tailed classification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:00.299981Z

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Observation 30c5230b-cebf-446c-81c1-9f016bbe004e · outbound

This paper cites Long-tailed visual recognition via self-heterogeneous integration with knowledge excavation,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Long-tailed visual recognition via self-heterogeneous integration with knowledge excavation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:00.118017Z

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Observation e674b5d8-9401-43ec-94a2-01b1f932923f · outbound

This paper cites Focal loss for dense object detection,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Focal loss for dense object detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:59.935776Z

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Observation b4c3a332-cd8e-4b7e-a628-699ed7fd37a3 · outbound

This paper cites Class-balanced loss based on effective number of samples,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Class-balanced loss based on effective number of samples,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:59.771263Z

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Observation a6cbb542-d99d-4036-9991-1d2c584f79be · outbound

This paper cites Balanced meta-softmax for long-tailed visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Balanced meta-softmax for long-tailed visual recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:59.583641Z

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Observation ff801160-c2a8-43d8-8459-af4d2cda812d · outbound

This paper cites Long-tail learning via logit adjustment,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Long-tail learning via logit adjustment,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:59.441715Z

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Observation 4d40e317-cc80-4c65-b42e-ebbab5ef4026 · outbound

This paper cites Disentangling label distribution for long-tailed visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Disentangling label distribution for long-tailed visual recognition,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:59.232829Z

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This paper cites Long-tailed visual recognition via gaussian clouded logit adjustment,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Long-tailed visual recognition via gaussian clouded logit adjustment,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:59.003746Z

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Observation 6aa16c8e-eeb4-4f34-b42b-d70e743ce377 · outbound

This paper cites A Simple Long-Tailed Recognition Baseline via Vision-Language Model.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion A Simple Long-Tailed Recognition Baseline via Vision-Language Model

Reference 24

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Observation ab13db7f-0b2c-4f33-8a98-988532890e5d · outbound

This paper cites VL-LTR: Learning class-wise visual-linguistic represen- tation for long-tailed visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion VL-LTR: Learning class-wise visual-linguistic represen- tation for long-tailed visual recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:58.747648Z

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Observation c5d352db-31f9-4dd3-b687-59756c2ff886 · outbound

This paper cites LPT: long-tailed prompt tuning for image classification,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion LPT: long-tailed prompt tuning for image classification,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:58.549137Z

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Observation f7f62054-65a2-4805-949e-fcef167916bd · outbound

This paper cites ImageNet-21K pretraining for the masses,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion ImageNet-21K pretraining for the masses,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:58.352310Z

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Observation 5df9d81a-a7a4-4ca1-b622-f9a0493a7c2d · outbound

This paper cites Learning imbalanced datasets with label-distribution-aware margin loss,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Learning imbalanced datasets with label-distribution-aware margin loss,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:58.117130Z

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Observation 2ba777f5-b7ca-443a-9521-61371d5215e6 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Arcface: Additive angular margin loss for deep face recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:57.909975Z

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Observation ce588fe6-6d9e-4543-84c6-f7ba6ab16f84 · outbound

This paper cites Cosface: Large margin cosine loss for deep face recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Cosface: Large margin cosine loss for deep face recognition,

Reference 31

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Observation b0cf2b83-2489-4634-875a-9a6c76b98ccb · outbound

This paper cites Normface: L2 hypersphere embedding for face verification,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Normface: L2 hypersphere embedding for face verification,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:57.470863Z

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Observation 8e22b3ac-2673-46ea-960e-cd36fa8c340b · outbound

This paper cites Mtfh: A matrix tri-factorization hashing framework for efficient cross- modal retrieval,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Mtfh: A matrix tri-factorization hashing framework for efficient cross- modal retrieval,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:57.301535Z

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This paper cites Joint semantic preserving sparse hashing for cross-modal retrieval,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Joint semantic preserving sparse hashing for cross-modal retrieval,

Reference 34

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Observation af753f90-c96a-40cb-880c-a9700fef9b2e · outbound

This paper cites Revisiting unreasonable effectiveness of data in deep learning era,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Revisiting unreasonable effectiveness of data in deep learning era,

Reference 35

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Observation 474062d1-c1bf-46ba-9f5e-628c96606eea · outbound

This paper cites Does head label help for long-tailed multi-label text classification,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Does head label help for long-tailed multi-label text classification,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:56.725190Z

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Observation 672ce020-0d1b-4e44-a778-ade3f1f9dddd · outbound

This paper cites Permutation-invariant fea- ture restructuring for correlation-aware image set-based recogni- tion,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Permutation-invariant fea- ture restructuring for correlation-aware image set-based recogni- tion,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:56.538106Z

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Observation a548fbe5-3088-4f0f-b1c1-de3783bfe28d · outbound

This paper cites Feature fusion from head to tail for long-tailed visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Feature fusion from head to tail for long-tailed visual recognition,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:56.300313Z

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Observation 4c1b6cdc-b334-43b6-8a7f-a6d42f32d9ab · outbound

This paper cites Autoaugment: Learning augmentation strategies from data,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Autoaugment: Learning augmentation strategies from data,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:56.073197Z

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Observation 77f7a0a4-1252-41c2-8d72-f45e4c16a81b · outbound

This paper cites Fast autoaugment,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Fast autoaugment,

Reference 40

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Observation ca55480c-4f33-41b6-9c7f-22b5b38d3ef4 · outbound

This paper cites Pop- ulation based augmentation: Efficient learning of augmentation policy schedules,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Pop- ulation based augmentation: Efficient learning of augmentation policy schedules,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:55.725895Z

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Observation 8906a713-d90e-4625-932c-38ce05c3727c · outbound

This paper cites Randaugment: Practical automated data augmentation with a reduced search space,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Randaugment: Practical automated data augmentation with a reduced search space,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:55.587668Z

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Observation 9b4ec4b3-6a49-4cfb-8201-235b16d288fa · outbound

This paper cites Parametric contrastive learning,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Parametric contrastive learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:55.403587Z

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Observation 995327fb-03e3-4c3e-a382-34f66c466411 · outbound

This paper cites Nested collaborative learning for long-tailed visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Nested collaborative learning for long-tailed visual recognition,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:55.213636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation adef0f3e-7f48-4623-a95f-65071cd58e1e · outbound

This paper cites Improving calibration for long-tailed recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Improving calibration for long-tailed recognition,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:55.006894Z

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Observation 7ef2af3f-f3f6-40f6-985f-b678f5e38267 · outbound

This paper cites Distribution alignment: A unified framework for long-tail visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Distribution alignment: A unified framework for long-tail visual recognition,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:54.841293Z

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Observation 3c74928e-ec44-466f-868a-09ea1470c6b6 · outbound

This paper cites Ace: Ally complementary experts for solving long-tailed recognition in one- shot,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Ace: Ally complementary experts for solving long-tailed recognition in one- shot,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:54.655589Z

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Observation d03e0f5b-e001-4e03-a4ab-b4284f3bfe5d · outbound

This paper cites Reslt: Residual learning for long-tailed recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Reslt: Residual learning for long-tailed recognition,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:54.468053Z

Source-reported events for the cited work

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Observation 7f1dd69e-1c0b-49a2-81f4-d485e5bad901 · outbound

This paper cites Learning from multiple experts: Self-paced knowledge distillation for long-tailed classification,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Learning from multiple experts: Self-paced knowledge distillation for long-tailed classification,

Reference 49

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Observation b171e61d-07e8-4474-9b11-2699fd049f09 · outbound

This paper cites Overcoming classifier imbalance for long- tail object detection with balanced group softmax,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Overcoming classifier imbalance for long- tail object detection with balanced group softmax,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:53.928072Z

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Observation 4af8c0d3-1b94-488e-9659-dd446e68fd0d · outbound

This paper cites Key point sen- sitive loss for long-tailed visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Key point sen- sitive loss for long-tailed visual recognition,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:53.645427Z

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Observation 4771ca5c-e434-463c-b381-1ef788359c60 · outbound

This paper cites Seesaw loss for long-tailed instance segmentation,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Seesaw loss for long-tailed instance segmentation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:53.437775Z

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Observation c60a1c25-4bd4-40a2-9247-9b29421ce7eb · outbound

This paper cites An image is worth 16x16 words: Transformers for image recog- nition at scale,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion An image is worth 16x16 words: Transformers for image recog- nition at scale,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:53.164764Z

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Observation d2863f2a-c35a-4d89-a29d-14e62aff85cc · outbound

This paper cites Attention is all you need,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Attention is all you need,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:52.821045Z

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Observation 6131b92f-eb92-4bca-8d24-e219fb1de95f · outbound

This paper cites Learning imbalanced data with vision transformers,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Learning imbalanced data with vision transformers,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:52.415920Z

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Observation 554f16a4-2953-4421-ae49-36f1aed5573b · outbound

This paper cites Learning transferable visual models from natural language supervision,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Learning transferable visual models from natural language supervision,

Reference 56

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Observation a5c3c3fc-6210-4981-8842-42c3a4795f26 · outbound

This paper cites Visual prompt tuning,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Visual prompt tuning,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:51.982864Z

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Observation 6e0bdb26-53c4-4009-905f-f4596b23d9ba · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Adaptformer: Adapting vision transformers for scalable visual recognition,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:51.645768Z

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Observation d77de30e-7d26-4b03-b6b8-8e2fecb2fe60 · outbound

This paper cites Lora: Low- rank adaptation of large language models,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Lora: Low- rank adaptation of large language models,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:51.317108Z

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Observation 258795eb-05ca-4443-bc28-ed728be42d9a · outbound

This paper cites Retrieval augmented classification for long-tail visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Retrieval augmented classification for long-tail visual recognition,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:51.031197Z

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Observation 0937fb6b-bdbe-4547-9e71-5ec20b7d5619 · outbound

This paper cites Vl-ltr: Learning class-wise visual-linguistic represen- tation for long-tailed visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Vl-ltr: Learning class-wise visual-linguistic represen- tation for long-tailed visual recognition,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:50.718207Z

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This paper cites Deep over-sampling frame- work for classifying imbalanced data,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Deep over-sampling frame- work for classifying imbalanced data,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:50.439140Z

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Observation c953591d-d07c-4bac-8114-d94326ef5367 · outbound

This paper cites A survey on long- tailed visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion A survey on long- tailed visual recognition,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:50.148958Z

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Observation 0dd8c12a-417f-44f7-ba3e-e13b83596486 · outbound

This paper cites Deep sets,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Deep sets,

Reference 64

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Observation a72d71b2-cf9c-4652-b018-fdc4a6ef4c6e · outbound

This paper cites Deep set prediction networks,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Deep set prediction networks,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:49.501356Z

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Observation 706cf300-167a-4649-8589-9d5d1036832c · outbound

This paper cites Deep residual learning for image recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Deep residual learning for image recognition,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:49.195254Z

Source-reported events for the cited work

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Observation 898161e4-6369-4a33-b8b1-f369f4464327 · outbound

This paper cites The inaturalist species classification and detection dataset,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion The inaturalist species classification and detection dataset,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:48.896012Z

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Observation 714309f1-0f87-48b4-8aa6-d76595d6173e · outbound

This paper cites Open long-tailed recognition in a dynamic world,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Open long-tailed recognition in a dynamic world,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:48.581479Z

Source-reported events for the cited work

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Observation bad364af-8d17-4a21-a8de-d708e6eb3bb8 · outbound

This paper cites Learning multiple layers of features from tiny images,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Learning multiple layers of features from tiny images,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:48.340522Z

Source-reported events for the cited work

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Observation ea22e9b7-a8b9-4d8c-a1ea-7383bc43d690 · outbound

This paper cites Feature space augmentation for long-tailed data,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Feature space augmentation for long-tailed data,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:48.121877Z

Source-reported events for the cited work

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Observation 3dd961f8-b5d5-4dea-9539-920d4855a035 · outbound

This paper cites Imagenet large scale visual recognition challenge,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Imagenet large scale visual recognition challenge,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:47.856125Z

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Observation 75fc2a3d-d93f-474c-b162-aaa1475d6610 · outbound

This paper cites Places: A 10 million image database for scene recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Places: A 10 million image database for scene recognition,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:47.590005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 083c9a19-3766-4526-8aac-8c2ed118cc1d · outbound

This paper cites Memory-based jitter: JOURNAL OF LATEX CLASS FILES 13 Improving visual recognition on long-tailed data with diversity in memory,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Memory-based jitter: JOURNAL OF LATEX CLASS FILES 13 Improving visual recognition on long-tailed data with diversity in memory,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:47.307620Z

Source-reported events for the cited work

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Observation 928b154a-6d9a-4d87-b826-cf422d93c33e · outbound

This paper cites An optimal transport view of class-imbalanced visual recognition,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion An optimal transport view of class-imbalanced visual recognition,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:47.015247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26c5d0c2-a198-49da-9b1c-fa14d25156a3 · outbound

This paper cites mixup: Beyond empirical risk minimization,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion mixup: Beyond empirical risk minimization,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:46.738930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02c77aec-5127-49e2-9aa5-bae1bc9c5b11 · outbound

This paper cites Exploring vision-language models for imbalanced learning,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Exploring vision-language models for imbalanced learning,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:46.495454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc70dc5a-c1a5-414f-9e54-32abc25550ab · outbound

This paper cites Bag of tricks for long-tailed visual recognition with deep convo- lutional neural networks,.

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion Bag of tricks for long-tailed visual recognition with deep convo- lutional neural networks,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:46.327206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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