Compositional Attribute Imbalance in Vision Datasets | Paper Citation Record

Observation 3ce66dfa-6ade-4ddb-b39f-568c084f4b9f · outbound

This paper cites Food-101--mining discriminative components with random forests.

Compositional Attribute Imbalance in Vision Datasets Food-101--mining discriminative components with random forests

Reference 1

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Observation dd61f789-553d-4fbd-ada0-2f993b7c457f · outbound

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

Compositional Attribute Imbalance in Vision Datasets Ace: Ally complementary experts for solving long-tailed recognition in one-shot

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.566230Z

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Observation d8202990-f534-4b50-aa59-6733ac59ba70 · outbound

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

Compositional Attribute Imbalance in Vision Datasets Learning imbalanced datasets with label-distribution-aware margin loss

Reference 3

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Observation 88a88f07-9c55-4158-8f18-66f5441c10c3 · outbound

This paper cites V., Bowyer, K.

Compositional Attribute Imbalance in Vision Datasets V., Bowyer, K

Reference 4

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Observation fe6553b7-8f9f-4153-856e-1ee7fc8c85a3 · outbound

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

Compositional Attribute Imbalance in Vision Datasets Feature space augmentation for long-tailed data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.525904Z

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Observation 41312ade-5037-4b5e-9eda-3470fa88a272 · outbound

This paper cites Describing textures in the wild.

Compositional Attribute Imbalance in Vision Datasets Describing textures in the wild

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.207219Z

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Observation 9002df26-4206-4744-bcfc-c3aba6a19bd1 · outbound

This paper cites Parametric contrastive learning.

Compositional Attribute Imbalance in Vision Datasets Parametric contrastive learning

Reference 7

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Observation 6df278b1-a9a9-45ff-8532-a7db1ee03fbf · outbound

This paper cites Large scale fine-grained categorization and domain-specific transfer learning.

Compositional Attribute Imbalance in Vision Datasets Large scale fine-grained categorization and domain-specific transfer learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.491958Z

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Observation 43d6eac6-9f6d-4baf-a918-b639b47bc630 · outbound

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

Compositional Attribute Imbalance in Vision Datasets Class-balanced loss based on effective number of samples

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.221811Z

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Observation ecd4a92c-dd71-427f-bf32-db1e8c64e288 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Compositional Attribute Imbalance in Vision Datasets Imagenet: A large-scale hierarchical image database

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.226617Z

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Observation d7d08380-b524-4204-8f81-c034d8202397 · outbound

This paper cites Class rectification hard mining for imbalanced deep learning.

Compositional Attribute Imbalance in Vision Datasets Class rectification hard mining for imbalanced deep learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.353841Z

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Observation e069d35e-4415-4d21-9530-0be54bc262a7 · outbound

This paper cites H., Williams, K., Corke, F.

Compositional Attribute Imbalance in Vision Datasets H., Williams, K., Corke, F

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.337715Z

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Observation 967d1623-93b0-42ec-b35b-0a9b98c9e875 · outbound

This paper cites The foundations of cost-sensitive learning.

Compositional Attribute Imbalance in Vision Datasets The foundations of cost-sensitive learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.322717Z

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Observation 526e6651-7fca-4ea5-a2d9-ae7b67dc1e75 · outbound

This paper cites A multiple resampling method for learning from imbalanced data sets.

Compositional Attribute Imbalance in Vision Datasets A multiple resampling method for learning from imbalanced data sets

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.307152Z

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Observation 59f0f3d3-4f03-48e5-ab02-0f10ba2eb9c0 · outbound

This paper cites Learning to segment the tail.

Compositional Attribute Imbalance in Vision Datasets Learning to segment the tail

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.290045Z

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Observation 73f16d5c-0619-46d9-b7ed-4af6103902c7 · outbound

This paper cites C., and Tang, X.

Compositional Attribute Imbalance in Vision Datasets C., and Tang, X

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.275125Z

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Observation 840cbc67-341b-4a53-992b-5d63d5cd2160 · outbound

This paper cites Z., Mahmood, A., and Nandakumar, K.

Compositional Attribute Imbalance in Vision Datasets Z., Mahmood, A., and Nandakumar, K

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.259840Z

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Observation d0ca6e3a-9d39-4627-8497-8b6d17e282f6 · outbound

This paper cites Exploring balanced feature spaces for representation learning.

Compositional Attribute Imbalance in Vision Datasets Exploring balanced feature spaces for representation learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.244132Z

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Observation 52ebf5bd-fa96-4349-8c8e-5a953b642f7f · outbound

This paper cites Novel dataset for fine-grained image categorization: Stanford dogs.

Compositional Attribute Imbalance in Vision Datasets Novel dataset for fine-grained image categorization: Stanford dogs

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.228742Z

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Observation 6e244fac-f815-4233-97bf-b116cf1f72d2 · outbound

This paper cites 3d object representations for fine-grained categorization.

Compositional Attribute Imbalance in Vision Datasets 3d object representations for fine-grained categorization

Reference 20

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Observation 439214d1-3654-41ad-80b1-c8cf568af71d · outbound

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

Compositional Attribute Imbalance in Vision Datasets Learning multiple layers of features from tiny images

Reference 21

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Observation 786e0185-1e67-48e5-913b-e8dc54948869 · outbound

This paper cites Focal loss for dense object detection.

Compositional Attribute Imbalance in Vision Datasets Focal loss for dense object detection

Reference 22

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Observation e9d4c03f-83c0-47b0-be4e-e131f0312957 · outbound

This paper cites Gistnet: a geometric structure transfer network for long-tailed recognition.

Compositional Attribute Imbalance in Vision Datasets Gistnet: a geometric structure transfer network for long-tailed recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.181774Z

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Observation dc17dea3-7259-413d-ab9f-19cd566b7523 · outbound

This paper cites Deep representation learning on long-tailed data: A learnable embedding augmentation perspective.

Compositional Attribute Imbalance in Vision Datasets Deep representation learning on long-tailed data: A learnable embedding augmentation perspective

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.164857Z

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Observation 32e032c5-7503-4499-b3b0-2bb226e57bc2 · outbound

This paper cites Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.

Compositional Attribute Imbalance in Vision Datasets Deepfashion: Powering robust clothes recognition and retrieval with rich annotations

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.148915Z

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Observation a01166f3-314c-4240-b739-3a68de7f94a5 · outbound

This paper cites Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning.

Compositional Attribute Imbalance in Vision Datasets Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning

Reference 26

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Observation 41b741d0-5092-4e45-99fa-887a110fe007 · outbound

This paper cites Delving into semantic scale imbalance.

Compositional Attribute Imbalance in Vision Datasets Delving into semantic scale imbalance

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.132834Z

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Observation b8f85e69-bd52-498d-a4ee-2723e368f771 · outbound

This paper cites Geometric prior guided feature representation learning for long-tailed classification.

Compositional Attribute Imbalance in Vision Datasets Geometric prior guided feature representation learning for long-tailed classification

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.116988Z

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Observation 5843501a-f216-482b-a4c7-9ca26f77c4d0 · outbound

This paper cites Feature distribution representation learning based on knowledge transfer for long-tailed classification.

Compositional Attribute Imbalance in Vision Datasets Feature distribution representation learning based on knowledge transfer for long-tailed classification

Reference 29

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T19:57:49.680967Z

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Observation d1a2d58c-4e9c-4f81-8088-90e593b90fed · outbound

This paper cites Predicting and enhancing the fairness of dnns with the curvature of perceptual manifolds.

Compositional Attribute Imbalance in Vision Datasets Predicting and enhancing the fairness of dnns with the curvature of perceptual manifolds

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.100407Z

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Observation cac10cef-4538-4249-bda1-135d7d7f8583 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Compositional Attribute Imbalance in Vision Datasets Fine-Grained Visual Classification of Aircraft

Reference 31

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Observation 004b3037-dccc-4924-b16d-b9ea46f12e39 · outbound

This paper cites and Zisserman, A.

Compositional Attribute Imbalance in Vision Datasets and Zisserman, A

Reference 32

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Observation e79059a7-61a9-47f6-a80a-798f0e6915c3 · outbound

This paper cites Factors in finetuning deep model for object detection with long-tail distribution.

Compositional Attribute Imbalance in Vision Datasets Factors in finetuning deep model for object detection with long-tail distribution

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.075188Z

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Observation 57abc3f7-fc37-48eb-a471-8e7f9713c09d · outbound

This paper cites an unresolved cited work.

Compositional Attribute Imbalance in Vision Datasets Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:57:50.059649Z

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Observation d8d9c62b-c61d-445a-b62a-9bde948f8eb2 · outbound

This paper cites M., Vedaldi, A., Zisserman, A., and Jawahar, C.

Compositional Attribute Imbalance in Vision Datasets M., Vedaldi, A., Zisserman, A., and Jawahar, C

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.342220Z

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Observation d91af0dd-45be-445c-8c30-9dd0b608fd09 · outbound

This paper cites Learning to predict visual attributes in the wild.

Compositional Attribute Imbalance in Vision Datasets Learning to predict visual attributes in the wild

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.034856Z

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Observation e7bd3aa4-e997-47c8-b00c-00d5a5c637df · outbound

This paper cites A., and Gao, X.

Compositional Attribute Imbalance in Vision Datasets A., and Gao, X

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:50.019337Z

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Observation 5e0c80fa-5abf-4df0-82c1-5cf2b229c998 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

Compositional Attribute Imbalance in Vision Datasets W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.355388Z

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Observation ddd9af99-84cd-42d9-80ce-b36332551e08 · outbound

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

Compositional Attribute Imbalance in Vision Datasets Balanced meta-softmax for long-tailed visual recognition

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.359826Z

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Observation 1502a839-353b-4d38-b575-44dd8077425d · outbound

This paper cites Class-wise difficulty-balanced loss for solving class-imbalance.

Compositional Attribute Imbalance in Vision Datasets Class-wise difficulty-balanced loss for solving class-imbalance

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.983707Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1065e3e0-8bd1-44a7-bc46-e9050fd59d09 · outbound

This paper cites Class-difficulty based methods for long-tailed visual recognition.

Compositional Attribute Imbalance in Vision Datasets Class-difficulty based methods for long-tailed visual recognition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.968222Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 84980ba9-125f-49d7-8e94-01eefb22581d · outbound

This paper cites Equalization loss for long-tailed object recognition.

Compositional Attribute Imbalance in Vision Datasets Equalization loss for long-tailed object recognition

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.952699Z

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Observation abe12c74-2966-4fac-8747-683b879e6330 · outbound

This paper cites Invariant feature learning for generalized long-tailed classification.

Compositional Attribute Imbalance in Vision Datasets Invariant feature learning for generalized long-tailed classification

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.937188Z

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Observation 4e556d77-cd53-44ad-a88d-715f39ee73fb · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Compositional Attribute Imbalance in Vision Datasets The caltech-ucsd birds-200-2011 dataset

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.385531Z

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Observation 84b105ca-5de8-465a-9365-52c7752a48d3 · outbound

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

Compositional Attribute Imbalance in Vision Datasets The devil is in classification: A simple framework for long-tail instance segmentation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.910484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0f8862c1-d048-438f-b00b-cd0d7ceddae8 · outbound

This paper cites Long-tailed Recognition by Routing Diverse Distribution-Aware Experts.

Compositional Attribute Imbalance in Vision Datasets Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.394395Z

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Observation f71bdf4c-7528-40dc-9eca-2c10e67a9caa · outbound

This paper cites A., Oliva, A., and Torralba, A.

Compositional Attribute Imbalance in Vision Datasets A., Oliva, A., and Torralba, A

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.399151Z

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Observation 7ef08bdc-0e28-45e7-a615-1d2f109bcbda · outbound

This paper cites Defect spectrum: a granular look of large-scale defect datasets with rich semantics.

Compositional Attribute Imbalance in Vision Datasets Defect spectrum: a granular look of large-scale defect datasets with rich semantics

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.883288Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0f710b47-c47c-4795-8e71-b01d13cd2372 · outbound

This paper cites and Xu, Z.

Compositional Attribute Imbalance in Vision Datasets and Xu, Z

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.867598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8a18c5a-e15d-4b0e-bf63-12955d10eb83 · outbound

This paper cites Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning.

Compositional Attribute Imbalance in Vision Datasets Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.413116Z

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Observation 24fbcc1e-32d0-4c4c-8708-a34b006e5317 · outbound

This paper cites Feature transfer learning for face recognition with under-represented data.

Compositional Attribute Imbalance in Vision Datasets Feature transfer learning for face recognition with under-represented data

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.849542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8f7f9c45-62ac-4d64-867f-e179f8e03d94 · outbound

This paper cites an unresolved cited work.

Compositional Attribute Imbalance in Vision Datasets Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:57:49.833917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4c73c28-9773-4c6e-8180-09db100724d6 · outbound

This paper cites Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition.

Compositional Attribute Imbalance in Vision Datasets Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.427745Z

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Observation 267c0bda-58c9-4cdb-9a5f-7d84cf9ab521 · outbound

This paper cites Deep Long-Tailed Learning: A Survey.

Compositional Attribute Imbalance in Vision Datasets Deep Long-Tailed Learning: A Survey

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.432524Z

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Observation 43da577b-10bc-450a-a248-9c70a3e8af8d · outbound

This paper cites Concept-guided prompt learning for generalization in vision-language models.

Compositional Attribute Imbalance in Vision Datasets Concept-guided prompt learning for generalization in vision-language models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.818712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b522eb3c-0c5e-4edb-a450-0799ac92d3a9 · outbound

This paper cites and Pfister, T.

Compositional Attribute Imbalance in Vision Datasets and Pfister, T

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.803402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 299d335b-5a38-4bfd-8c62-7a7100ae7c5e · outbound

This paper cites A large-scale attribute dataset for zero-shot learning.

Compositional Attribute Imbalance in Vision Datasets A large-scale attribute dataset for zero-shot learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.788172Z

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Observation 6b47ee14-b9e3-4efd-8e53-c3f2533a126d · outbound

This paper cites C., Tan, M., and Huang, J.

Compositional Attribute Imbalance in Vision Datasets C., Tan, M., and Huang, J

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.451548Z

Source-reported events for the cited work

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Observation 7a2dfc16-58e6-4e45-b171-3cf0e8c0c461 · outbound

This paper cites Improving calibration for long-tailed recognition.

Compositional Attribute Imbalance in Vision Datasets Improving calibration for long-tailed recognition

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.763886Z

Source-reported events for the cited work

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Observation 9f44469d-ea8c-4a60-a139-735ea9cbcc8b · outbound

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

Compositional Attribute Imbalance in Vision Datasets Bbn: Bilateral-branch network with cumulative learning for long-tailed visual recognition

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.748665Z

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Observation d7bbb2fe-5b76-485d-8279-097200f624d8 · outbound

This paper cites Global-local framework for medical image segmentation with intra-class imbalance problem.

Compositional Attribute Imbalance in Vision Datasets Global-local framework for medical image segmentation with intra-class imbalance problem

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:57:49.733052Z

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Observation e928990d-e6a5-45ac-86b2-39e6a518dd68 · outbound

This paper cites and Liu, X.-Y.

Compositional Attribute Imbalance in Vision Datasets and Liu, X.-Y

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.470222Z

Source-reported events for the cited work

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Observation c256067f-3bc9-47f6-99a4-a3c154962bba · outbound

This paper cites write newline.

Compositional Attribute Imbalance in Vision Datasets write newline

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.474730Z

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Unavailable: canonical work link unavailable.

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