Pith. sign in

Paper Citation Record · LEDGER

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

As of 16 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.

source=pdf_text observed=2026-08-11T21:37:31.443599Z digest=sha256:61848d13aa5e26cefebe84cd810d81d506d96a49f28945b9d63153c39baa98f0

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.

source=pdf_text observed=2026-08-11T21:37:31.448546Z digest=sha256:03211b8ce89f99a953130929dcc06362e0165f95364317cb41ade98f742f2605

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=sha256:6a02ffbefb92d4d3b1552bd23f2b34705afff896efe3b2929f107ff58fe893b8

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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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:ea80f702b0abb0becabf5b116f2c0cfb7caf1bdf3b8055e37e2bfec97512e792

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:c619490aaae6d6f01c801162a07928900a344291c046155b9a584e27f173bf9f

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=sha256:5f3265e9c765726fd06d3dacc0538c7d0c655492f17de2220242a2167cf2b08a

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=sha256:2fbed4fe5419827c384e1866dbafbd1c2dcc2366603a6cf76dacbe9c90831b0b

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

source=pdf_text observed=2026-08-11T21:37:31.477971Z digest=sha256:33fe208bae9016cbfe6b4a634f70eeb2a8aa66b7d43bb50bb9fa514f6cf03169

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

source=pdf_text observed=2026-08-11T21:37:31.482507Z digest=sha256:69151e8d44828784e32b377d7b369abc904ca78ce17c85222beb12bf3efe4b4c

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=pdf_text observed=2026-08-11T21:37:31.486941Z digest=sha256:a98f23b8b3b377fe981848def232c34cebcc6f22ffc5a2254e0fbbb0023b0668

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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source=pdf_text observed=2026-08-11T21:37:31.492643Z digest=sha256:020fd5cebd92cff93fd5920da081e6ef194dca33d557f17b6808163f4ac5b36b

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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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=2026-08-11T21:37:31.498272Z digest=sha256:52fe5721d9a1fff0fdc5b291eaa75266b8bdc45697559a74b6b751c5a5787b1c

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=sha256:77d9b22f3df560f5f57a9506f3d44bf7024b045c172456ed557f246191e1b255

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=sha256:10286081394f39ceee8e60b248a1ec8847aa92cee46c55a8359b837eacb46273

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=sha256:004c78e5d45829ddda3757007644e7c3ff25c7015ee93b2eadccc318f9f6c8e6

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=sha256:297525133dc9104aaf8ade9e67189041d0e607ee24533f730c1fda6116635cee

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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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:d9b06bf2da222d104669eec98318f6826c9e5cbd44110c9df6abd5ce54528007

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=sha256:40d0809565d6ec7fb1fdeeb27db403edde507a0dc33bbc0ae7db7ec23b35c80c

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:d96d645c3fbfe7774182fa5d53b44a8222f88bbfec8a96ad216c906e7b042378

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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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 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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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=sha256:37bf0f1af640a6374d2f98497b83db4304b682f95f5ad6dd459b1a3a582b4650

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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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=2026-08-11T21:37:31.556154Z digest=sha256:ce38cd3f2a01a905b897bc91819f9783dac7515c356c35e4d8bebed13b0882a1

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=sha256:4036f23747057e9c90b6807e5ee189c1ce9abd521d1498c6e63b356584fc528a

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:bcfc938e8802245c444814787ccea38aad712caf15692539348f779a018dfc4a

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=sha256:80eea4498f0863a6eaca0ee0d6ba7e92934b8c6cb802c8b50f2dfdfed47d86cd

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:f396ba525a070512e96a93ebdedd09e0de2affb1b83c87758cc3676b6c3d00c7

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=sha256:4b82480a0d58398588f7feb77c7f879fde93d71808c435bfee68af5551f9a110

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=sha256:52704cc51c25e8d32f10d1b4f95eb2f67040f242ffd2b5f09e1505f38503e92d

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=sha256:9786827de3e1adbe2214e538b688c21b812acf9979dceca2398854550a39787a

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:c8fe4115fb1600b2f6a8a3bf9d8292df3514c1e39afd9cfa8189c09e5f879cc1

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:dc0737067688e04244a9bb140c60cbc25ff68755a382ff791d229b84e0a2ffc6

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=sha256:81b186f933f234a01e05f2736f99d7b4d191f74e9acd6802cc1df76df34a4b24

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=sha256:2d53c2064648ba57ea654495d34775010209006c395a8a657f305b65081f568b

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=sha256:067db3399acbf2eccba6315047e072f17dc98a1c91e4848f06c31ecb0cff706c

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=sha256:2cd761a519d1c74fa2e11d17f113e3206992128135dae5db5c63d4bd4c536a5f

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=sha256:3b95491e7f8fa5e5b51f564b5993343edd589fcff4a2f09eb6dfb25067137f73

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=sha256:63f0257b56fe671cb8d684de4f4c2962eb3d680f42027bcb8f8910c26444238e

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:c4647c477d5a77dbc46d4fcd6255c1764e1fb096b04c8bbafe56cb17b9947496

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:f132706f156048a678c7eb114feca1b6865a784d1b86776f43ced3c05008e294

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:f22237d06025a239fb71ba8bc449c01544a76fcb112f0794a4983a5f273eedbf

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=sha256:45e76a11cb7a6b8c3cb5154bf3b93357485955b6539e820602e435feb7aaaec9

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=sha256:3f390b94503e8b8d348c6ce14da87a1589cb6390aba5ab14cfe8ac36e70753c6

Pith citing papers

No inbound Pith citation observations are available.