Pith. sign in

Paper Citation Record · LEDGER

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection

As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2412.04289.

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

pith.paper-citation-record.v1
2412.04289 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:37:31.653191Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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 exact1
  • verified fuzzy36
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 4967b810-24be-42d4-b21a-3c0dcd98625f · outbound

This paper cites Esti- mating real-time traffic carbon dioxide emissions based on intelligent transportation system technologies,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Esti- mating real-time traffic carbon dioxide emissions based on intelligent transportation system technologies,

Reference 1

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e403df0d-e01b-449b-9ccf-931de27daf65 · outbound

This paper cites Towards real-time traffic sign detection and classification,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Towards real-time traffic sign detection and classification,

Reference 2

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5ee503f7-3525-421b-acb3-9c18bd24d48b · outbound

This paper cites Road-sign detection and recognition based on support vector machines,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Road-sign detection and recognition based on support vector machines,

Reference 3

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f0fd34a9-acea-434e-9eab-0878e00b7b1d · outbound

This paper cites Traffic sign segmentation and classification using statistical learning methods,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Traffic sign segmentation and classification using statistical learning methods,

Reference 4

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raw_fallback, observed 2026-08-11T21:37:32.336831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3232be84-ac0c-4970-81f0-15574c9e1f0e · outbound

This paper cites Color exploitation in hog-based traffic sign detection,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Color exploitation in hog-based traffic sign detection,

Reference 5

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.454016Z digest=sha256:39460ea9d8fcb30dd17a93e01b7268871796fd3c95af8addb32188e8b267702e

Observation 6f9bf710-a1cf-4e91-bff8-327fc80b132e · outbound

This paper cites Traffic sign detection based on color segmentation of obscure image candidates: a comprehensive study,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Traffic sign detection based on color segmentation of obscure image candidates: a comprehensive study,

Reference 6

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raw_fallback, observed 2026-08-11T21:37:32.305065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.458922Z digest=sha256:0033472437084d65d2d1f20a018977099ab780c4806192f9f57281272aad75ac

Observation 75c09808-eb24-4e1d-82fe-231151d7c335 · outbound

This paper cites Fast traffic sign recognition with a rotation invariant binary pattern based feature,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Fast traffic sign recognition with a rotation invariant binary pattern based feature,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.464048Z digest=sha256:59f6a3a6a532a54a80dd8390b576aa803db5abe4b733620fc0cf75349684577e

Observation f4d5ba4b-6c0c-43dc-8c01-db25cec1127f · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:37:31.468702Z digest=sha256:77b395be9b253cb96a0ff703317ea6c67acb527670c775d56045f40fd5d01931

Observation 3eddf001-a701-48f7-8c8d-b484e638408d · outbound

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

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Faster R-CNN: Towards real-time object detection with region proposal networks,

Reference 9

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raw_fallback, observed 2026-08-11T21:37:32.263381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.473353Z digest=sha256:b402b72f9c44c686a6f408b0d9cced881dc448ccd13011813bf9ae7c0dde2567

Observation 59fb71be-33a1-450c-b161-46152eaa1353 · outbound

This paper cites Cascade R-CNN: High quality object detection and instance segmentation,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Cascade R-CNN: High quality object detection and instance segmentation,

Reference 10

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source=pdf_text observed=2026-08-11T21:37:31.477971Z digest=sha256:1f9024f94b5e751db71fbfee12f0a12399a1f6bb43b8fff124004fe0e205d299

Observation ce6d5ae0-d8cf-46d1-91e3-733c72d36ff1 · outbound

This paper cites Mask R-CNN,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Mask R-CNN,

Reference 11

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source=pdf_text observed=2026-08-11T21:37:31.482507Z digest=sha256:8aa96b1106aba97949309cb9b3f584b1ef4859ba1415eca7d21c7337175adb74

Observation 9e18e41d-8fc8-42d4-8418-169c3181aae4 · outbound

This paper cites SSD: Single Shot MultiBox Detector.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection SSD: Single Shot MultiBox Detector

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:37:31.486941Z digest=sha256:a4e61983ac51ace4b2c0c22751c49b401c2ac2ad75220734985cbd4cc25463ec

Observation 220a2893-c3ef-4942-98fa-8e2c3ff8eb9b · outbound

This paper cites DSSD : Deconvolutional Single Shot Detector.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection DSSD : Deconvolutional Single Shot Detector

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:37:31.492643Z digest=sha256:e7887c02b48d6dd3a0d5daf5c6b3c6c59e66ceda604e09e013b77c42e690306d

Observation 31ede8c0-f386-49f4-9d66-04d234cd6171 · outbound

This paper cites You only look once: Unified, real-time object detection,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection You only look once: Unified, real-time object detection,

Reference 14

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.498272Z digest=sha256:c959b798536f162259c25c113d9b8ff5b8b6e63f5c151e764e392e3e74fbaba2

Observation d65cc21c-1659-4574-b060-72596b5cbe97 · outbound

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

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Yolo9000: better, faster, stronger,

Reference 15

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.503412Z digest=sha256:608854325db139e3a41e977e921c55e576e0d919ca24cfceba88315dbdf89bae

Observation ffe11ee9-3ea7-4c20-83a3-c402ad909061 · outbound

This paper cites YOLOv3: An Incremental Improvement.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection YOLOv3: An Incremental Improvement

Reference 16

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T21:37:31.508097Z digest=sha256:8b73326b3a0a0ef915bd3d58df98f664c0aee87122f8ee13c496801e2e706bc0

Observation 29c69ab4-6105-4755-8ad2-ec2d84f98d7c · outbound

This paper cites Ultralytics yolov5,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Ultralytics yolov5,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6975fd79-2eac-4aa6-9b2c-123c696b77f6 · outbound

This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 18

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Observation 2cd5654d-d43b-4770-b7ff-19506ce7da1c · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,

Reference 19

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.522996Z digest=sha256:11b918f38611f4df21a1bd3f9aa0d7036db9f5f1d21bae1c0d0e4361df160c7b

Observation bd8b402b-33d7-4274-9274-987433613186 · outbound

This paper cites Feature pyramid networks for object detection,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Feature pyramid networks for object detection,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:37:31.527734Z digest=sha256:978622d73342c4bc19ce8fc27ffa50f4486dd2b3606bda9512d3a3a585da8858

Observation d5fac3c7-da3f-4646-ae75-08fa67467f1e · outbound

This paper cites Multi-level feature fusion pyramid network for object detection,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Multi-level feature fusion pyramid network for object detection,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.532621Z digest=sha256:51ab2bc73914ef3ece04302b86203698f373b94d743c0dd399aac44bb8c5c77b

Observation 13152c88-4534-4419-92dd-1ff4da162ec6 · outbound

This paper cites Realize your surroundings: Exploiting context information for small object detection,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Realize your surroundings: Exploiting context information for small object detection,

Reference 22

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.537301Z digest=sha256:3e0b105daf1baae0c3a3d925c1cd63b3fdb5f7540d2837923ab2ff16168e60f3

Observation 4712688f-d467-4c72-ab39-5b06cd00a1e3 · outbound

This paper cites Hybrid task cascade for instance segmentation,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Hybrid task cascade for instance segmentation,

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:37:31.541854Z digest=sha256:f18b2466acd72629ab3944ded3d4b86569407105955d8e180d6356fe31dd8830

Observation 11662a80-302e-48e7-9dad-f8a7c2e72846 · outbound

This paper cites Efficient context-guided stacked refinement network for rgb-t salient object detection,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Efficient context-guided stacked refinement network for rgb-t salient object detection,

Reference 24

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ad228283-3bc2-48d9-92a4-d2cdd8d941cd · outbound

This paper cites Cam- ouflaged object detection via context-aware cross-level fusion,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Cam- ouflaged object detection via context-aware cross-level fusion,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.551398Z digest=sha256:16f09a4ab9ce4d5338eedac68f31acde050ed383ebadfd29cfce8caa9740993b

Observation 891eb01c-8ef6-4f21-bf59-7399950a6f61 · outbound

This paper cites Transformer-based context condensation for boosting feature pyramids in object detection,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Transformer-based context condensation for boosting feature pyramids in object detection,

Reference 26

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.556154Z digest=sha256:793aea104e26da33d10f78e946681c959e1d3eedc75754a4e54c495d7e513668

Observation d52a9491-3819-4917-bcea-16e3c2eee188 · outbound

This paper cites Cbam: Convolutional block attention module,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Cbam: Convolutional block attention module,

Reference 27

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raw_fallback, observed 2026-08-11T21:37:32.052736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.560747Z digest=sha256:371543204cb6d818b9dcacb65313e922076b262a300adf20ec6348a0cea51a43

Observation 350f1289-abb6-4b6c-9025-fc7566e820f3 · outbound

This paper cites Attentional feature fusion,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Attentional feature fusion,

Reference 28

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raw_fallback, observed 2026-08-11T21:37:32.035688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.565684Z digest=sha256:d3cda510d16138122da10abab15d9f89fbe3b8e5112d61544ba9f95d5527bb82

Observation fd86e285-486d-4f28-a89b-97b441c3edcb · outbound

This paper cites Gather-excite: Exploiting feature context in convolutional neural networks,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Gather-excite: Exploiting feature context in convolutional neural networks,

Reference 29

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raw_fallback, observed 2026-08-11T21:37:32.020538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.570846Z digest=sha256:f6e500d83e8c72ed865d967c93154f6ce40bd5988c1def8b1372313317f5b652

Observation 87f55e2e-6dd1-4136-b3e7-53e731953dcd · outbound

This paper cites Hierarchical multi-scale attention for semantic segmentation,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Hierarchical multi-scale attention for semantic segmentation,

Reference 30

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raw_fallback, observed 2026-08-11T21:37:32.005248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.575436Z digest=sha256:50bdf7984581016601a5078235dd25b93a530ebb0d2fcfa116df4935b8790a73

Observation 7b3253e0-c81a-4b6b-9ee8-0fed52d571aa · outbound

This paper cites A real-time chinese traffic sign detection algorithm based on modified yolov2,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection A real-time chinese traffic sign detection algorithm based on modified yolov2,

Reference 31

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raw_fallback, observed 2026-08-11T21:37:31.989788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.579974Z digest=sha256:ee9500a2e145d48914fefb931cfffcd0ba2f0b5e615b1d173bf0c7844a405a12

Observation 9a49c7c4-53f5-41d5-9243-ef6cecffdbcb · outbound

This paper cites Traffic object detection and recognition based on the attentional visual field of drivers,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Traffic object detection and recognition based on the attentional visual field of drivers,

Reference 32

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raw_fallback, observed 2026-08-11T21:37:31.974270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.584678Z digest=sha256:6cbbe9d67169751ad03f9d7eac264b57d13566621ac986e06cae3fab33592d92

Observation b6f6c1c8-05db-43d3-b699-3181ca378930 · outbound

This paper cites Traffic sign detection and recognition in multiimages using a fusion model with yolo and vgg network,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Traffic sign detection and recognition in multiimages using a fusion model with yolo and vgg network,

Reference 33

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no resolver link, observed 2026-08-11T21:37:31.589787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:37:31.589787Z digest=sha256:7f1b6bf2940b5b6476d2dfb24549cb23ec757d582c05ba84d05742de1c50dbdc

Observation 55a013e4-9baf-4f9f-b76c-9ca6fb8eaab4 · outbound

This paper cites MFL-YOLO: An Object Detection Model for Damaged Traffic Signs.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection MFL-YOLO: An Object Detection Model for Damaged Traffic Signs

Reference 34

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local_arxiv, observed 2026-08-11T21:37:31.716038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.594913Z digest=sha256:f594313280261d5049b01868922c9309b2904269f360aab9ea5edbd5dd1bc60c

Observation 803b13dd-691f-4036-b28b-3061e9e715e1 · outbound

This paper cites Vehicle- mounted adaptive traffic sign detector for small-sized signs in multiple working conditions,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Vehicle- mounted adaptive traffic sign detector for small-sized signs in multiple working conditions,

Reference 35

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raw_fallback, observed 2026-08-11T21:37:31.949089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.600062Z digest=sha256:870e143533984b968e95b21c4c84ad99ae6c8bcd41b40cb8315ac91a5159b2ba

Observation a3d64fef-d455-4b48-b176-43ba08712c13 · outbound

This paper cites Automatic traffic sign detection and recognition using segu-net and a modified tversky loss function with l1-constraint,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Automatic traffic sign detection and recognition using segu-net and a modified tversky loss function with l1-constraint,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:37:31.933703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.604842Z digest=sha256:d9fdd6da371c3aed98668af036c4ad1c60dbd907ec6b9d16ec1cc601c57ade54

Observation 43ed2cb7-b9ec-4689-b9e3-b73f69c5b293 · outbound

This paper cites Rs-lane: A robust lane detection method based on resnest and self-attention distillation for challenging traffic situations,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Rs-lane: A robust lane detection method based on resnest and self-attention distillation for challenging traffic situations,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:37:31.918412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.610124Z digest=sha256:e97d63c91f52d549056829d87bc2cde2f1102adf1b5dc2181e75eab406a84331

Observation 3f5e51fd-4b42-4717-ab44-eb7b9770d540 · outbound

This paper cites Attention-based neural network for traffic sign detection,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Attention-based neural network for traffic sign detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:37:31.903239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.614804Z digest=sha256:7a9c549b5859276272ce5a67ab0122a346bdfc7f63ba5bfca17b8174d7ea0262

Observation 25c596bc-7d00-4095-9256-6431712400f3 · outbound

This paper cites Traffic sign recognition with lightweight two-stage model in complex scenes,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Traffic sign recognition with lightweight two-stage model in complex scenes,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:37:31.887732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.619417Z digest=sha256:0236a581168c464243bccaf945f753c7a98e0be12c87cca82807e5540f8ab566

Observation dbbe9aae-5016-46f7-9f4a-96155ac3d4e3 · outbound

This paper cites Long- tailed traffic sign detection using attentive fusion and hierarchical group softmax,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Long- tailed traffic sign detection using attentive fusion and hierarchical group softmax,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:37:31.872020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.624152Z digest=sha256:e24b4b1188e6ed4b85552f13ed7cf03541dcfd18b42954c281134b80f238d1e3

Observation 73f0e56b-82a7-4332-9374-7f1d4981d52a · outbound

This paper cites Ultralytics yolov8,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Ultralytics yolov8,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:37:31.854899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.629010Z digest=sha256:90a75e53a4f47f03f5b92b745832a93471058b64f98bcb4f8421f36d9ac42eb1

Observation 64a6d4f9-e6bb-4edd-b5cd-e1b53d133983 · outbound

This paper cites YOLOv10: Real-Time End-to-End Object Detection.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection YOLOv10: Real-Time End-to-End Object Detection

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T21:37:31.633765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:37:31.633765Z digest=sha256:1ff033cd34ffb107bec83919285237eab0fd284bef55992d4d801217c3aaef4b

Observation ee12436b-7834-47d2-bfbc-bfe62a159d9a · outbound

This paper cites Context-aware convolutional neural network for object detection in vhr remote sensing imagery,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Context-aware convolutional neural network for object detection in vhr remote sensing imagery,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:37:31.839446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.639322Z digest=sha256:e46d7b7c1f293d25729c3c0147387d93da73bc1e3839b4ba4c7119688784737d

Observation fe54a76d-969b-48bb-b683-c2d2c0b1294e · outbound

This paper cites Recursive context routing for object detection,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Recursive context routing for object detection,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:37:31.824265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.643926Z digest=sha256:1fd51175e153722c6f95b2400ca873e1593fba6a8c5c2b95b42730c4545bd29f

Observation cfde07dd-d1da-47ba-86dc-ea8bb35f5484 · outbound

This paper cites V ote-based 3d object detection with context modeling and sob-3dnms,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection V ote-based 3d object detection with context modeling and sob-3dnms,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:37:31.808709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.648626Z digest=sha256:8dffd3a9245d66d58c703d1839fe7d0808a5f0016deef1d1ad5715410ec662b4

Observation dc4f6785-d437-4c7a-8a50-011de2435ecc · outbound

This paper cites Crnet: Context-guided reasoning network for detecting hard objects,.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection Crnet: Context-guided reasoning network for detecting hard objects,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:37:31.793406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T21:37:31.653191Z digest=sha256:ee53c4aa758be804e8e84ec13e28ba26a05364a45bfcddf7a7accc6fda647a9e

Pith citing papers

No inbound Pith citation observations are available.