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Paper Citation Record · LEDGER

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.11122.

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

pith.paper-citation-record.v1
2506.11122 v1

Coverage vector

measured 35 of 35 reference resolution

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measured 35 of 35 standing notices

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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

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 32f42896-de07-40e0-8d8f-f5b6a87ff388 · outbound

This paper cites A review of object detection techniques,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN A review of object detection techniques,

Reference 1

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Observation 2bfc88e6-9672-449b-8d1d-c8176fe367bb · outbound

This paper cites Object Detection in 20 Years: A Survey.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Object Detection in 20 Years: A Survey

Reference 2

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This paper cites Imagenet classification with deep convolutional neural networks,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Imagenet classification with deep convolutional neural networks,

Reference 3

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Observation 369041db-d376-4337-9bcb-32d6001bcb7a · outbound

This paper cites Recent object detection techniques: A survey,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Recent object detection techniques: A survey,

Reference 4

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Observation bf299e61-99f1-42cd-bcf6-e3017afab7fc · outbound

This paper cites Deep learning for generic object detection: A survey,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Deep learning for generic object detection: A survey,

Reference 5

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Observation e4f8e530-3f33-4957-906f-9b839dc33404 · outbound

This paper cites Object detection techniques: Overview and performance comparison,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Object detection techniques: Overview and performance comparison,

Reference 6

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This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs,

Reference 7

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Observation 809f80e9-5446-4a06-902a-223024158b64 · outbound

This paper cites Image resolution enhancement by using discrete and stationary wavelet decomposition,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Image resolution enhancement by using discrete and stationary wavelet decomposition,

Reference 8

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Observation 639acf88-0b6d-44a6-bb2c-d39edd85a2a1 · outbound

This paper cites Detection and classification of multiple objects using an RGB - D sensor and linear spatial pyramid matching,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Detection and classification of multiple objects using an RGB - D sensor and linear spatial pyramid matching,

Reference 9

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This paper cites Artificial intelligence system of faster region -based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Artificial intelligence system of faster region -based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer,

Reference 10

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Observation 2af7791d-aca2-4d2f-af75-aa8fe14042f3 · outbound

This paper cites Super resolution image reconstruction using wavelet lifting schemes and Gabor filters,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Super resolution image reconstruction using wavelet lifting schemes and Gabor filters,

Reference 11

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Observation b14f27b9-7e16-4a7c-a53b-8f2515a5708b · outbound

This paper cites Object detection with discriminatively trained part -based models,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Object detection with discriminatively trained part -based models,

Reference 12

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Observation 1ce88f77-cffa-45b2-8b36-86e0efb2c598 · outbound

This paper cites Vehicle overtaking hazard detection over onboard cameras using deep convolutional networks,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Vehicle overtaking hazard detection over onboard cameras using deep convolutional networks,

Reference 13

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Observation a36a12d3-727c-41d2-b404-3914b866896d · outbound

This paper cites Fast R -CNN,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Fast R -CNN,

Reference 14

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Observation d3ffe5ec-a604-4f56-a845-853861dcab08 · outbound

This paper cites Mask R-CNN,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Mask R-CNN,

Reference 15

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Observation 065fd6db-2469-4bfd-b25f-4aaf028aec8d · outbound

This paper cites A comprehensive survey of video datasets for background subtraction,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN A comprehensive survey of video datasets for background subtraction,

Reference 16

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Observation 101dcf80-8b7b-4d1b-bfd2-0f418d4b436f · outbound

This paper cites Evaluation of the accuracy of oil palm tree detection using deep learning and support vector machine classifiers,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Evaluation of the accuracy of oil palm tree detection using deep learning and support vector machine classifiers,

Reference 17

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Observation 8a2696b1-3562-42d9-af31-87350563d86b · outbound

This paper cites Accurate image super -resolution using very deep convolutional networks,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Accurate image super -resolution using very deep convolutional networks,

Reference 18

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Observation 62541de6-da75-4b05-aa23-e2bae3efd393 · outbound

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Image resolution enhancement using convolutional autoencoders,

Reference 19

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN 63‐3: real‐time spatial‐based projector resolution enhancement,

Reference 20

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Deep learning vs. traditional computer vision,

Reference 21

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Observation 394af2c0-859d-428b-a3c8-7c98f566904d · outbound

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN A review: object detection using deep learning,

Reference 22

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Observation 42b3535c-aa7b-41ba-9acd-1cac8c86afbb · outbound

This paper cites Frustum PointNets for 3D object detection from RGB-D data,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Frustum PointNets for 3D object detection from RGB-D data,

Reference 23

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Observation f52007f6-c557-4792-9125-0ce31753b22e · outbound

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Comparative analysis of various enhancement methods for satellite images,

Reference 24

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Fish detection using morphological approach based -on K -means segmentation,

Reference 25

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN PSO -based Tsallis thresholding selection procedure for image segmentation,

Reference 26

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Deep learning techniques for image recognition and object detection,

Reference 27

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Colorectal polyp detection model by using super - resolution reconstruction and YOLO,

Reference 28

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Super-resolution of plant disease images for the acceleration of image -based phenotyping and vigor diagnosis in agriculture,

Reference 29

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Observation 45e5ba3d-407a-4e43-beb7-4330479dfdcf · outbound

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Combined self -learning based single -image super - resolution and dual-tree complex wavelet transform denoising for medical images,

Reference 30

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This paper cites Unsupervised vehicle extraction of bounding boxes in UA V images,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Unsupervised vehicle extraction of bounding boxes in UA V images,

Reference 31

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN 3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds

Reference 32

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Observation 6aae5c86-95f3-4966-9644-49015cc6c6da · outbound

This paper cites Lesion focused super -resolution,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Lesion focused super -resolution,

Reference 33

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Observation 4da03181-8bb5-43d0-b14a-9470909ec26a · outbound

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

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Microsoft Coco : Common objects in context,

Reference 34

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Observation 913947bc-dc8b-4b3c-acc9-4cb187110765 · outbound

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Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Unresolved cited work

Reference 35

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Pith citing papers

No inbound Pith citation observations are available.