Pith. sign in

Paper Citation Record · LEDGER

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics

As of 19 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1908.11262.

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

pith.paper-citation-record.v1
1908.11262 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:24:48.454724Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

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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

37 of 37 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82278c8e-a916-4af6-a9d0-3239e1be1a66 · outbound

This paper cites Distance sets for shape filters and shape recognition,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Distance sets for shape filters and shape recognition,

Reference 1

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Observation 0dc51368-b4da-4526-ab78-9ac0fd4e47ff · outbound

This paper cites Multi- view traffic sign detection, recognition, and 3D localisa- tion,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Multi- view traffic sign detection, recognition, and 3D localisa- tion,

Reference 2

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Observation 3bc0e850-a980-4e53-a534-e8b9bfc121dc · outbound

This paper cites Multi- view traffic sign detection, recognition, and 3D localisa- tion,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Multi- view traffic sign detection, recognition, and 3D localisa- tion,

Reference 3

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Observation a51e508a-a9fd-48d1-a2ff-6ee6be8736e7 · outbound

This paper cites Road sign detection in images: A case study,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Road sign detection in images: A case study,

Reference 4

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Observation b8a8a0b8-2ae6-4cfd-9a0b-e99d83228f2a · outbound

This paper cites Using fourier descriptors and spatial models for traffic sign recognition,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Using fourier descriptors and spatial models for traffic sign recognition,

Reference 5

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Observation ca780530-22f9-4f31-9dfd-c55707c5a168 · outbound

This paper cites The German Traffic Sign Recognition Benchmark: A multi- class classification competition,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics The German Traffic Sign Recognition Benchmark: A multi- class classification competition,

Reference 6

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Observation 6dc30641-b8a7-4984-81e8-4a771d577cc6 · outbound

This paper cites Man versus computer: Benchmarking machine learning algorithms for traffic sign recognition ,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Man versus computer: Benchmarking machine learning algorithms for traffic sign recognition ,

Reference 7

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Observation 8b6b4bb6-dfbc-445e-8123-94acb9ee0c2d · outbound

This paper cites Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark,

Reference 8

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Observation d2c2cc0f-60c3-4f23-9dd6-c3ead8860f66 · outbound

This paper cites Vision-based traffic sign detection and analysis for intel- ligent driver assistance systems: Perspectives and survey,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Vision-based traffic sign detection and analysis for intel- ligent driver assistance systems: Perspectives and survey,

Reference 9

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Observation d9603bf1-dea5-4b4a-a4c8-d51d22ccdd55 · outbound

This paper cites Traffic-sign detection and classification in the wild,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Traffic-sign detection and classification in the wild,

Reference 10

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Observation d6ee54d0-13b2-422e-ae23-757a34f49bfa · outbound

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

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Towards real- time traffic sign detection and classification,

Reference 11

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Observation ee5b65ff-df1d-458a-8060-aae3368a9512 · outbound

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

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics A real-time chinese traffic sign detection algorithm based on modified yolov2,

Reference 12

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Source-reported events for the cited work

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Observation 6e14e07a-6e59-408b-9278-a1e0ada8206a · outbound

This paper cites Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network

Reference 13

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Observation 5c05f2eb-465d-4de2-ac9f-bda3268dc95d · outbound

This paper cites CURE-TSR: Challenging unreal and real environments for traffic sign recognition,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics CURE-TSR: Challenging unreal and real environments for traffic sign recognition,

Reference 14

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Source-reported events for the cited work

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Observation 87d8234b-1c95-444c-87b7-44725ddca2d4 · outbound

This paper cites Traffic signs in the wild: Highlights from the ieee video and image processing cup 2017 student competition [sp competitions],.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Traffic signs in the wild: Highlights from the ieee video and image processing cup 2017 student competition [sp competitions],

Reference 15

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Source-reported events for the cited work

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Observation 66c99cd1-33c1-47d3-9da7-a2dec9adf983 · outbound

This paper cites Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions

Reference 16

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Source-reported events for the cited work

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Observation 6d0a32c2-f8fb-4dcd-b88e-6781d0bdecfb · outbound

This paper cites Intriguing properties of neural networks,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Intriguing properties of neural networks,

Reference 17

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Source-reported events for the cited work

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Observation 3e6ea973-56bf-464c-8050-6af7f0ae8ed9 · outbound

This paper cites Explaining and harnessing adversarial examples,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Explaining and harnessing adversarial examples,

Reference 18

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Source-reported events for the cited work

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Observation 02cbded2-ede8-468d-acc5-be4ee946bdc3 · outbound

This paper cites No need to worry about adversarial examples in object detection in autonomous vehicles,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics No need to worry about adversarial examples in object detection in autonomous vehicles,

Reference 19

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Observation 0e59d759-d799-41cf-ae8b-d73b58f3367f · outbound

This paper cites Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression

Reference 20

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Observation 25224226-6fdd-46bf-b104-790a0f92f80d · outbound

This paper cites Traffic sign recognition using a multi-task convolutional neural network,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Traffic sign recognition using a multi-task convolutional neural network,

Reference 21

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Source-reported events for the cited work

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Observation ac5417b4-b124-4213-b25c-10f25f0c6ae2 · outbound

This paper cites CURE-OR: Challeng- ing unreal and real environments for object recognition,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics CURE-OR: Challeng- ing unreal and real environments for object recognition,

Reference 22

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Source-reported events for the cited work

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Observation 56bbd6b4-47a9-4619-bb64-7ddb29c906d7 · outbound

This paper cites Object recognition under multifarious conditions: A reliability analysis and a feature similarity-based performance estimation,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Object recognition under multifarious conditions: A reliability analysis and a feature similarity-based performance estimation,

Reference 23

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Source-reported events for the cited work

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This paper cites Semantically interpretable and controllable filter sets,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Semantically interpretable and controllable filter sets,

Reference 24

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Source-reported events for the cited work

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This paper cites Distorted representation space characterization through backpropagated gradients,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Distorted representation space characterization through backpropagated gradients,

Reference 25

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Source-reported events for the cited work

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Observation ca73d47c-b083-4e57-a00c-5d6d790f9fcd · outbound

This paper cites Modelling the power spectra of natural images: Statistics and informa- tion,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Modelling the power spectra of natural images: Statistics and informa- tion,

Reference 26

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Source-reported events for the cited work

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Observation 929fcb85-b1f8-4ca4-9187-cc80ecfb53c7 · outbound

This paper cites Statistics of natural image categories,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Statistics of natural image categories,

Reference 27

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Source-reported events for the cited work

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Observation 5d911fe5-6a38-4e3d-8317-fd6a1c1b3496 · outbound

This paper cites Efficiently scaling up crowdsourced video annotation,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Efficiently scaling up crowdsourced video annotation,

Reference 28

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Source-reported events for the cited work

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Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Definition of shadow,

Reference 29

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Source-reported events for the cited work

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Observation 7a87002f-826c-443b-b4ab-569ff94735de · outbound

This paper cites Bundled camera paths for video stabilization,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Bundled camera paths for video stabilization,

Reference 30

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Source-reported events for the cited work

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This paper cites Steadyflow: Spatially smooth optical flow for video stabilization,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Steadyflow: Spatially smooth optical flow for video stabilization,

Reference 31

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Source-reported events for the cited work

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Observation 1728f5a2-7a12-4493-b0ac-ee75971d457e · outbound

This paper cites Rolling- shutter-aware differential sfm and image rectification,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Rolling- shutter-aware differential sfm and image rectification,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4f78fa50-301b-46a1-a894-68072a2bfe58 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 33

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Source-reported events for the cited work

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Observation dfbbe00f-3536-42b9-a639-7db7df6e7f7e · outbound

This paper cites Deep Residual Learning for Image Recognition.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Deep Residual Learning for Image Recognition

Reference 34

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Observation 081c8091-7a44-4d34-8493-389de9816c2b · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 35

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Observation 54cd5798-3e48-4dfd-a56b-acecf086a25e · outbound

This paper cites Going Deeper with Convolutions.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Going Deeper with Convolutions

Reference 36

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Observation 9df86af0-77ea-4398-b386-3eb7e722d1a1 · outbound

This paper cites The jpeg still picture compression standard,.

Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics The jpeg still picture compression standard,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-14T10:24:48.625958Z

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Pith citing papers

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