Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection | Paper Citation Record

Observation fa88f2d3-248a-4889-8250-6fb69fea2be7 · outbound

This paper cites Yolo9000: better, faster, stronger,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Yolo9000: better, faster, stronger,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:51.047794Z

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Observation 429bcfd2-9c47-4630-a793-e0a53a9851b3 · outbound

This paper cites Crossdet++: Growing crossline representation for object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Crossdet++: Growing crossline representation for object detection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:50.934425Z

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Observation ad469d54-b326-47aa-899e-1f7a66209672 · outbound

This paper cites Fast R-CNN,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Fast R-CNN,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:50.816124Z

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Observation f8bb1d20-1202-419f-b78e-245361de86a1 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:50.698423Z

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Observation 2a2d26c6-da3c-4909-9531-30ad539a81e1 · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Cascade r-cnn: Delving into high quality object detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:50.593370Z

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Observation 3d527f15-0605-44cd-b95c-1c23e3395cf1 · outbound

This paper cites Frustratingly simple few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Frustratingly simple few-shot object detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:50.468061Z

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Observation 45b6cac6-eed3-46dd-9963-75aa7aaf000b · outbound

This paper cites Defrcn: Decoupled faster r-cnn for few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Defrcn: Decoupled faster r-cnn for few-shot object detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:50.328199Z

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Observation 11ef8339-fc94-4a06-93f7-451ff15f68ef · outbound

This paper cites Few-shot object detection via association and discrimination,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Few-shot object detection via association and discrimination,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:50.204832Z

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Observation a08e215e-f56d-4e67-9ece-9d70d8fe76b0 · outbound

This paper cites Label, verify, correct: A simple few shot object detection method,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Label, verify, correct: A simple few shot object detection method,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:50.034444Z

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Observation 3538393c-8879-43d9-84e4-61fe97c960b7 · outbound

This paper cites Semi-supervised few-shot object detection via adaptive pseudo labeling,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Semi-supervised few-shot object detection via adaptive pseudo labeling,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:49.869534Z

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Observation 3a6db5c3-a940-4e13-877a-3b555e423585 · outbound

This paper cites Vlm-guided explicit-implicit complementary novel class se- mantic learning for few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Vlm-guided explicit-implicit complementary novel class se- mantic learning for few-shot object detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:49.743236Z

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Observation 582fe357-4329-4374-8b7d-049235c57d8c · outbound

This paper cites Ecea: Extensible co-existing attention for few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Ecea: Extensible co-existing attention for few-shot object detection,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:15:41.889673Z

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Observation 844d7935-5299-4f86-a3bb-34b183be2244 · outbound

This paper cites Exploring orthogonality in open world object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Exploring orthogonality in open world object detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:49.654376Z

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Observation 077d2a0e-5310-4a04-ad6d-cb832dbe7659 · outbound

This paper cites Norm-aware embedding for efficient person search,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Norm-aware embedding for efficient person search,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:49.537153Z

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Observation 366e477c-7a45-4f8f-b736-62bf6fd01002 · outbound

This paper cites Few-shot object detection via feature reweighting,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Few-shot object detection via feature reweighting,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:49.429957Z

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Observation a68381b3-8344-4173-b248-bec65e1319a8 · outbound

This paper cites Beyond max-margin: Class margin equilibrium for few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Beyond max-margin: Class margin equilibrium for few-shot object detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:49.335332Z

Source-reported events for the cited work

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Observation 65c52bad-7192-4fd9-a174-6ea9b8aa7ce5 · outbound

This paper cites Few-shot object detection: Research advances and challenges,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Few-shot object detection: Research advances and challenges,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:15:42.271576Z

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Observation 4f117369-0f69-491c-8c44-bcdebcf4f18c · outbound

This paper cites Adaptive subspaces for few-shot learning,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Adaptive subspaces for few-shot learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:49.248809Z

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Observation c8721a1c-dd8c-4ed2-ac0d-d887c546178d · outbound

This paper cites Constrained few-shot class-incremental learning,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Constrained few-shot class-incremental learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:49.139539Z

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Observation 15da09d2-2904-4104-b498-7444c7d95ac1 · outbound

This paper cites Orthogonal projection loss,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Orthogonal projection loss,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:49.049640Z

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Observation 837e51d8-1c25-4a44-b9cd-5209113f9e44 · outbound

This paper cites Learning orthogonal prototypes for generalized few-shot semantic segmentation,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Learning orthogonal prototypes for generalized few-shot semantic segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:48.956016Z

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Observation ddd34083-de4f-4066-a23f-824e9f81f6f6 · outbound

This paper cites Generating features with increased crop- related diversity for few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Generating features with increased crop- related diversity for few-shot object detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:48.837969Z

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Observation a61c8d8b-46e4-4fe1-b3ba-98c3d0aea1e6 · outbound

This paper cites Simple copy-paste is a strong data augmentation method for instance segmentation,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Simple copy-paste is a strong data augmentation method for instance segmentation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:48.671956Z

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Observation a72b404e-6128-4af3-8733-8d195d2e092f · outbound

This paper cites X-paste: Revisiting scalable copy-paste for instance segmentation using clip and stablediffusion,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection X-paste: Revisiting scalable copy-paste for instance segmentation using clip and stablediffusion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:48.512100Z

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Observation 2f0d6aa3-3073-45f2-a5d3-e3f793d1e8be · outbound

This paper cites Pin: Posi- tional insert unlocks object localisation abilities in vlms,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Pin: Posi- tional insert unlocks object localisation abilities in vlms,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:48.369259Z

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

Observation 2d6e18ec-8063-48df-ac95-4334be5a5679 · outbound

This paper cites An effective crop-paste pipeline for few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection An effective crop-paste pipeline for few-shot object detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:48.237009Z

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

Observation 7f06990f-d15f-4791-a0e8-7ed206ca925a · outbound

This paper cites Learning to detect every thing in an open world,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Learning to detect every thing in an open world,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:48.108148Z

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

Observation d29a1e11-61b5-43a0-928b-26f2ce6e7b85 · outbound

This paper cites Fsce: Few-shot object detection via contrastive proposal encoding,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Fsce: Few-shot object detection via contrastive proposal encoding,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:47.937853Z

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

Observation 8b26d9cb-b89b-4e93-b2b8-193a7f898b8c · outbound

This paper cites Orthogonal progressive network for few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Orthogonal progressive network for few-shot object detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:47.743576Z

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

Observation 543b95f7-f193-49cf-8402-3f7e5e6b97c7 · outbound

This paper cites Cat: Localization and identification cascade detection transformer for open- world object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Cat: Localization and identification cascade detection transformer for open- world object detection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:47.611221Z

Source-reported events for the cited work

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

Observation 47f41dfb-7a21-400b-96e2-173383e67ed6 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection SAM 2: Segment Anything in Images and Videos

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T22:15:43.531497Z

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Unavailable: canonical work link unavailable.

Observation c5aade23-beb5-41e7-84d4-7aa2bbbdf9ae · outbound

This paper cites Bridging composite and real: towards end-to-end deep image matting,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Bridging composite and real: towards end-to-end deep image matting,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:47.466394Z

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

Observation 254a16d9-e1f7-4f93-9b04-2d47dd943ec2 · outbound

This paper cites Multi-faceted distillation of base-novel commonality for few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Multi-faceted distillation of base-novel commonality for few-shot object detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:47.303448Z

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Observation 55d3cde8-4c48-462d-95f6-2bb72c43858f · outbound

This paper cites Few-shot object detection via variational feature aggregation,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Few-shot object detection via variational feature aggregation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:47.110777Z

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Observation b360cd37-c9f0-4541-ac0b-d547d3d641c0 · outbound

This paper cites Mcce-rec: Mllm- driven cross-modal contrastive entropy model for zero-shot referring expression comprehension,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Mcce-rec: Mllm- driven cross-modal contrastive entropy model for zero-shot referring expression comprehension,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:46.906009Z

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

Observation 1ffc2318-9276-4a2e-8e79-deeb4e3f8aa8 · outbound

This paper cites Meta-detr: Image- level few-shot detection with inter-class correlation exploitation,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Meta-detr: Image- level few-shot detection with inter-class correlation exploitation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:46.743218Z

Source-reported events for the cited work

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

Observation 3e7b51d3-2e3c-4809-a45e-29b1b58e1b06 · outbound

This paper cites Fine-grained prototypes distillation for few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Fine-grained prototypes distillation for few-shot object detection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:46.579274Z

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

Observation 62f32172-6cc8-4369-b4c3-a25f8cd469d3 · outbound

This paper cites Understanding negative proposals in generic few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Understanding negative proposals in generic few-shot object detection,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:46.414229Z

Source-reported events for the cited work

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

Observation 54ea160d-9c61-4283-9c0f-770d60ae9a21 · outbound

This paper cites Fsna: Few-shot object detection via neighborhood information adaption and all attention,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Fsna: Few-shot object detection via neighborhood information adaption and all attention,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:46.250578Z

Source-reported events for the cited work

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

Observation 4e8d9824-44e0-439d-b55d-493ad1524227 · outbound

This paper cites Multi-view part-based few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Multi-view part-based few-shot object detection,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:46.079169Z

Source-reported events for the cited work

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

Observation ff1bbb8e-93f7-4744-a686-89606e976c04 · outbound

This paper cites Text generation and multi-modal knowledge transfer for few- shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Text generation and multi-modal knowledge transfer for few- shot object detection,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:45.851352Z

Source-reported events for the cited work

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

Observation dcac011f-19b6-4a52-9fb4-542107c82f45 · outbound

This paper cites The pascal visual object classes (voc) challenge,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection The pascal visual object classes (voc) challenge,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:45.633307Z

Source-reported events for the cited work

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

Observation c6c1438a-cba9-46db-a542-daf5d453a638 · outbound

This paper cites Microsoft coco: Common objects in context,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Microsoft coco: Common objects in context,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:45.422904Z

Source-reported events for the cited work

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

Observation b82f4b96-c682-4788-923e-c06bede91142 · outbound

This paper cites Multi-scale positive sample re- finement for few-shot object detection,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Multi-scale positive sample re- finement for few-shot object detection,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:45.233735Z

Source-reported events for the cited work

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

Observation 7d6653fa-3f7d-4520-9437-76f0b6af6a43 · outbound

This paper cites Disentangle and remerge: interventional knowledge distillation for few-shot object detection from a conditional causal perspective,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Disentangle and remerge: interventional knowledge distillation for few-shot object detection from a conditional causal perspective,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:15:45.051074Z

Source-reported events for the cited work

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

Observation ac9515f2-4d25-48f8-bd32-c1da8c1c11b9 · outbound

This paper cites Deep residual learning for image recognition,.

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection Deep residual learning for image recognition,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T22:15:44.848524Z

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Unavailable: canonical work link unavailable.

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