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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2506.22161.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.22161 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:15:44.848524Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy42
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

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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.

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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

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raw_fallback, observed 2026-08-06T22:15:50.934425Z

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.

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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

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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.

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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

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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.

source=pdf_text observed=2026-08-06T22:15:40.999039Z digest=sha256:77b27c093872a86493a50b3328578cc69a9a28d43c21cd7b489e31e6367626c2

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

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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.

source=pdf_text observed=2026-08-06T22:15:41.143972Z digest=sha256:61b7e37e5caa9aadf43fd29d4cb33951b2a047838f8f66d902bc4531fbf9de99

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

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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.

source=pdf_text observed=2026-08-06T22:15:41.287311Z digest=sha256:ba04753c4f44323db3bb69d3033ec1ef06d7946e464be8935d3eff9eca5a1787

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

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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.

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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

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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.

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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

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raw_fallback, observed 2026-08-06T22:15:50.034444Z

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.

source=pdf_text observed=2026-08-06T22:15:41.613113Z digest=sha256:b09eafea2d6c97ad2be9110c267f15b8b6bcbd8e78eaeb285ef2fc707f1f9f0b

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

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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.

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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

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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.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:41.889673Z digest=sha256:5179effc0906921adf911c5ebcd30ed9c7ecbcd9e9dd2d60750cc87980cf3ae0

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

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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.

source=pdf_text observed=2026-08-06T22:15:41.950727Z digest=sha256:7edd2b69db14201ca7d4fcfaab5dfd2df5b4385b8567a50264538815696c7955

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

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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.

source=pdf_text observed=2026-08-06T22:15:42.022387Z digest=sha256:9bbe508adc7c14526c34c26c121392c5beed04dc33ed0db5b5348cc66a78d498

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

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

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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

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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.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:42.271576Z digest=sha256:e7d6ef8765850573d49918571a32fce98dae25b4b2d957b9d2180d8c29d5dc1a

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

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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.

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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

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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.

source=pdf_text observed=2026-08-06T22:15:42.446844Z digest=sha256:06714476bc0e7bc12a76beded90af91495cae09c5d898226da04f541dced2d69

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

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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.

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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

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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.

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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

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

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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

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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.

source=pdf_text observed=2026-08-06T22:15:42.793715Z digest=sha256:e35c58f6f1dd20104e0821f4f065f4eb930b8521b6bbfd4430b2258aede43d3c

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

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raw_fallback, observed 2026-08-06T22:15:48.512100Z

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.

source=pdf_text observed=2026-08-06T22:15:42.882630Z digest=sha256:79d402170471a46bed3e15800184b288833b55769e61ae38766864cc27998fb2

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

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raw_fallback, observed 2026-08-06T22:15:48.369259Z

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.

source=pdf_text observed=2026-08-06T22:15:42.985177Z digest=sha256:04637a55c4f4a0998db8038eaa42052a02da5525f0a010e755379a2e15624fd4

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

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raw_fallback, observed 2026-08-06T22:15:48.237009Z

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.

source=pdf_text observed=2026-08-06T22:15:43.114599Z digest=sha256:4ac4b0f29bceb1ceb954a5a429d43479d6e056c0aa03f018e96379ec68cd0f0d

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

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raw_fallback, observed 2026-08-06T22:15:48.108148Z

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.

source=pdf_text observed=2026-08-06T22:15:43.202687Z digest=sha256:21b76f9bfe98dc0b7f2ede97fc0ebf0a5d34bfc8e5f2b8f19586a8b877d2e055

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

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raw_fallback, observed 2026-08-06T22:15:47.937853Z

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.

source=pdf_text observed=2026-08-06T22:15:43.284323Z digest=sha256:c11c255265c575d229a5c5921c921e10327f8ad7ee0452528d66fc869a3ac172

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

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raw_fallback, observed 2026-08-06T22:15:47.743576Z

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.

source=pdf_text observed=2026-08-06T22:15:43.377262Z digest=sha256:6a09f085c22bf454ea52ca1ed510ec67d5643a77caecd253cc38f0c73ccca079

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:15:43.447058Z digest=sha256:3b9b080e0e67966a6e2e95bc9dc347e18be20b86492353d2e2fd49c768ebfcf9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:43.531497Z digest=sha256:107f9d031fbbb698c9345ffe16c1f6400f708223e3c03c2b77da35e9f0e9a3aa

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

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raw_fallback, observed 2026-08-06T22:15:47.466394Z

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.

source=pdf_text observed=2026-08-06T22:15:43.606576Z digest=sha256:ed1863a603c05d4fe1eda7891bf218f4f45ce2513b64097ab44a67aadb036acf

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

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raw_fallback, observed 2026-08-06T22:15:47.303448Z

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.

source=pdf_text observed=2026-08-06T22:15:43.682515Z digest=sha256:b362ca733d823a9551589d8fd51cbe1d3438163e036a85af3869e93127b8c988

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

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.

source=pdf_text observed=2026-08-06T22:15:43.770920Z digest=sha256:3d0b6d51cefd97a4d445a5240c40b1856a3e4cd8dfaeeeb85babafc3789fcaaf

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

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.

source=pdf_text observed=2026-08-06T22:15:43.866422Z digest=sha256:6f62ac6f86fa393a5cde5a0e0b009cab260b82684663fbbfdcba3cec530dbe55

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:15:43.961090Z digest=sha256:3e5e35356b5d8f0ce54bbfb545489e3e7337e09aeb4669f3b7d385324163dd4d

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

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.

source=pdf_text observed=2026-08-06T22:15:44.060160Z digest=sha256:8853f240b040ca149e71ae97e11a1d7667a98b9c665081444ac88a4917eb7694

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:15:44.137698Z digest=sha256:7f4ec19427e095de3c0bbe400f18d94f28e54aa7a8a1dc72594d850110c91230

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:15:44.221637Z digest=sha256:536f51297278a2cce92357e7e6b04e1ecfa7c9e5c26c703c6fa0ea8fa19e40d8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:15:44.314856Z digest=sha256:76df1af4a112a0201cb7f3245f6912fc2a3b73e088ce270788d0d71039dae0f5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:15:44.387873Z digest=sha256:1f0f6c56c8f7a52af3e5f503533657cfd57a7084fdbdeaa6bb89b4584698aec5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:15:44.483478Z digest=sha256:94ac26d8225da984df2701b665eb9930a83cc5ffd01a1aabbe60daf7d24c8916

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:15:44.564470Z digest=sha256:0a2b3484684e113f5098e03b2ba350850e02caca19359f35625f8cc0af4c269b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:15:44.664434Z digest=sha256:b476b9d00db490507ee8681b48f58a20e988fd46c2f6a3007dce29827c4c7f96

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:15:44.754394Z digest=sha256:0da9c5efab6db2a13c2f3aa7b9e8d1fdce0e9159d92474fb4b51be9ae1f042c2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:44.848524Z digest=sha256:f2e5ed3d3aebb1f8b70ea02e6d964db7a3691e548807a1beaf1731e1f5c86cd2

Pith citing papers

No inbound Pith citation observations are available.