FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection | Paper Citation Record

Observation 5c9b6a50-936f-43b9-a7d6-47ab27a25b9f · outbound

This paper cites Prentice-Hall, Inc., 1988.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Prentice-Hall, Inc., 1988

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.763703Z

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Observation 8421f8cf-f01f-4211-a1d3-b67547671f53 · outbound

This paper cites Re- configuring the imaging pipeline for computer vision.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Re- configuring the imaging pipeline for computer vision

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.751474Z

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Observation 60f36784-3b68-45fa-aecd-7dc38c913b8d · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Cascade r-cnn: Delving into high quality object detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.740796Z

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Observation 11d32e01-c6a9-42bf-9734-3572bc501a31 · outbound

This paper cites Learn- ing to see in the dark.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Learn- ing to see in the dark

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.730195Z

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Observation 7ade5245-c0ae-4e76-b9b5-0433eb9dee47 · outbound

This paper cites Amplitude-phase recombination: Rethink- ing robustness of convolutional neural networks in frequency domain.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Amplitude-phase recombination: Rethink- ing robustness of convolutional neural networks in frequency domain

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.720316Z

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Observation 5918bda4-d7f0-4b92-84d6-b197940e68fa · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T19:56:15.886496Z

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Observation a8e0cf1d-6cd0-4d0f-8365-3ffecc8e31eb · outbound

This paper cites Instance segmentation in the dark.International Journal of Computer Vision, 131(8):2198–2218, 2023.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Instance segmentation in the dark.International Journal of Computer Vision, 131(8):2198–2218, 2023

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.709770Z

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Observation 3ff05a08-3ee4-417d-a15f-b0f0838cf4b6 · outbound

This paper cites Raw-adapter: Adapting pre- trained visual model to camera raw images.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Raw-adapter: Adapting pre- trained visual model to camera raw images

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.699555Z

Source-reported events for the cited work

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Observation 4aaac0b7-c601-4d32-aafe-3b975be2eb6e · outbound

This paper cites Multitask aet with orthogonal tan- gent regularity for dark object detection.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Multitask aet with orthogonal tan- gent regularity for dark object detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.688975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17602a6e-ee11-4145-a2dc-5c798990ff10 · outbound

This paper cites Awnet: Attentive wavelet network for image isp.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Awnet: Attentive wavelet network for image isp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.678727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d0f395b-065e-4587-bc26-d273cf0f35fc · outbound

This paper cites Mobile computational photography: A tour.Annual review of vision science, 7(1):571–604, 2021.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Mobile computational photography: A tour.Annual review of vision science, 7(1):571–604, 2021

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.667351Z

Source-reported events for the cited work

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Observation 412a390d-3a78-4157-a175-34fd2223909e · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Imagenet: A large-scale hierarchical image database

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T19:56:15.905115Z

Source-reported events for the cited work

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Observation 25839043-9e5a-444a-a70b-f090c7604d17 · outbound

This paper cites Beyond RGB: Adaptive Parallel Processing for RAW Object Detection.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Beyond RGB: Adaptive Parallel Processing for RAW Object Detection

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T19:56:16.212916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec7a515d-ba53-49e2-94c0-d6a0c5c40351 · outbound

This paper cites Dark-isp: Enhancing raw image processing for low-light object detection.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Dark-isp: Enhancing raw image processing for low-light object detection

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.648348Z

Source-reported events for the cited work

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Observation 78d5c6c3-dbfd-4e38-8754-6ec84a52b56d · outbound

This paper cites Learn- ing degradation-independent representations for camera isp pipelines.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Learn- ing degradation-independent representations for camera isp pipelines

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.637877Z

Source-reported events for the cited work

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Observation ff993471-5e10-4824-ae0a-77dbb35c9893 · outbound

This paper cites Deep residual learning for image recognition.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Deep residual learning for image recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T19:56:15.916973Z

Source-reported events for the cited work

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Observation 148c6030-6640-43b5-9689-af9ebadec2a8 · outbound

This paper cites Enhancing raw-to-srgb with decoupled style structure in fourier domain.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Enhancing raw-to-srgb with decoupled style structure in fourier domain

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.620523Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2c170dc-e8ea-4328-a6d8-c8cf43af6d75 · outbound

This paper cites Craft- ing object detection in very low light.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Craft- ing object detection in very low light

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.610305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c4ee987-7874-41a5-be6d-f86d86597952 · outbound

This paper cites Aim 2019 challenge on raw to rgb mapping: Methods and results.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Aim 2019 challenge on raw to rgb mapping: Methods and results

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.599552Z

Source-reported events for the cited work

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Observation 4226856a-ff26-47e3-8569-3f93e5441229 · outbound

This paper cites Replacing mobile camera isp with a single deep learning model.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Replacing mobile camera isp with a single deep learning model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.588871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9235062c-f5dc-4b26-a5b6-a43cc1e52e1c · outbound

This paper cites Lighting every darkness in two pairs: A calibration-free pipeline for raw denoising.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Lighting every darkness in two pairs: A calibration-free pipeline for raw denoising

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.578095Z

Source-reported events for the cited work

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Observation 36ce6869-d649-48ec-8409-8fa25bd55c03 · outbound

This paper cites A software platform for manipulating the camera imaging pipeline.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection A software platform for manipulating the camera imaging pipeline

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.566258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ef2b3f3-3c9f-4b72-abff-bf7188d26140 · outbound

This paper cites D3net: Joint demosaick- ing, deblurring and deringing.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection D3net: Joint demosaick- ing, deblurring and deringing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.555256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48c8eb27-ba79-4319-ab13-3233702d94e0 · outbound

This paper cites ParamISP: Learned Forward and Inverse ISPs using Camera Parameters.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection ParamISP: Learned Forward and Inverse ISPs using Camera Parameters

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T19:56:15.940167Z

Source-reported events for the cited work

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Observation b32247c5-0f23-4a00-8f5c-8532e8a6c626 · outbound

This paper cites Image features from phase congruency.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Image features from phase congruency

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.541682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7118a48-d286-4925-bb23-34c7d5e8d3bd · outbound

This paper cites High Dynamic Range and Super-Resolution from Raw Image Bursts.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection High Dynamic Range and Super-Resolution from Raw Image Bursts

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-05T19:56:16.188610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73f3fdef-a734-4f00-9aa6-310f379dd1b3 · outbound

This paper cites Efficient visual computing with camera raw snapshots.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 46(7):4684–4701, 2024.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Efficient visual computing with camera raw snapshots.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 46(7):4684–4701, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.531032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d87c127-0259-4feb-b4e5-dd80eda1214e · outbound

This paper cites Towards raw object detection in diverse conditions.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Towards raw object detection in diverse conditions

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.520354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20406561-bfee-42ce-ae42-5229433edd30 · outbound

This paper cites Raw image deblurring.IEEE Transactions on Multimedia, 24:61–72, 2020.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Raw image deblurring.IEEE Transactions on Multimedia, 24:61–72, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.509464Z

Source-reported events for the cited work

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Observation dbb80723-de10-4913-83ab-d7131a6c107f · outbound

This paper cites Focal Loss for Dense Object Detection.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Focal Loss for Dense Object Detection

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T19:56:15.957444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a43c59-f2ce-49b2-8b37-15222b35a4e9 · outbound

This paper cites Microsoft coco: Common objects in context.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Microsoft coco: Common objects in context

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T19:56:15.960625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fcfd106-0056-46bb-bb4b-e8a1a669ba5e · outbound

This paper cites A convnet for the 2020s.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection A convnet for the 2020s

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.489723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59a581b0-7c8f-4666-a9eb-dcce4278f8f1 · outbound

This paper cites Logarithmic lenses: Exploring log rgb data for image classification.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Logarithmic lenses: Exploring log rgb data for image classification

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.478663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5d21077-ee12-4397-aef9-e869c00800fd · outbound

This paper cites Genisp: Neural isp for low- light machine cognition.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Genisp: Neural isp for low- light machine cognition

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.467911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d4209c8-76ca-496c-838d-cae72b952bdb · outbound

This paper cites Feature detection from local energy.Pattern recognition letters, 6(5):303–313,.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Feature detection from local energy.Pattern recognition letters, 6(5):303–313,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.457095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3098a3c-0d6f-4d83-8c2a-0f90c4c14a2e · outbound

This paper cites Hardware-in-the- loop end-to-end optimization of camera image processing pipelines.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Hardware-in-the- loop end-to-end optimization of camera image processing pipelines

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.445974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8909c467-2a53-45fc-9858-2310c7a423c9 · outbound

This paper cites Automatic isp image quality tuning using nonlinear optimization.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Automatic isp image quality tuning using nonlinear optimization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.435462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e2da18c4-a2cc-4ef0-bcc4-f85cd5a7b28f · outbound

This paper cites The importance of phase in signals.Proceedings of the IEEE, 69(5):529–541, 2005.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection The importance of phase in signals.Proceedings of the IEEE, 69(5):529–541, 2005

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.423861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48ab1c6d-1c89-4319-bbbb-cc9e23d7a29b · outbound

This paper cites Learning to exploit the sequence-specific prior knowledge for image processing pipelines optimization.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Learning to exploit the sequence-specific prior knowledge for image processing pipelines optimization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.411176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36880dd9-09e6-48d4-a090-93508b6c6b7d · outbound

This paper cites Color image processing pipeline.IEEE Signal processing magazine, 22(1):34–43, 2005.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Color image processing pipeline.IEEE Signal processing magazine, 22(1):34–43, 2005

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.400785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44a50a15-6aec-4ab2-a61a-811569756a60 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.Advances in neural information process- ing systems, 28, 2015.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks.Advances in neural information process- ing systems, 28, 2015

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.391239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01d9a99f-e342-44cb-9c52-6f9bb321ba48 · outbound

This paper cites Raw image processing for python, a wrapper for libraw.Date accessed, 1(12):2022, 2014.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Raw image processing for python, a wrapper for libraw.Date accessed, 1(12):2022, 2014

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.380901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d30268cf-3de7-42b4-b4e0-f96131972bf1 · outbound

This paper cites Deepisp: Toward learning an end-to-end image processing pipeline.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Deepisp: Toward learning an end-to-end image processing pipeline

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.371201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 762e1b57-a99e-4f24-9bfa-2184d13ac2f0 · outbound

This paper cites Hyperparameter optimization in black-box im- age processing using differentiable proxies.ACM Trans.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Hyperparameter optimization in black-box im- age processing using differentiable proxies.ACM Trans

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.358859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3591584-77f1-49cf-9ae1-a6bc8f7efc3f · outbound

This paper cites Adaptiveisp: Learning an adaptive image signal pro- cessor for object detection.Advances in Neural Information Processing Systems, 37:112598–112623, 2024.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Adaptiveisp: Learning an adaptive image signal pro- cessor for object detection.Advances in Neural Information Processing Systems, 37:112598–112623, 2024

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.348905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7882095b-30d0-4f1e-baa2-f37a02cdc848 · outbound

This paper cites A physics-based noise formation model for extreme low-light raw denoising.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection A physics-based noise formation model for extreme low-light raw denoising

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.338908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 53cf75e8-cc41-4116-a119-d5e4e1506f49 · outbound

This paper cites Physics-based noise modeling for extreme low-light photog- raphy.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11):8520–8537, 2021.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Physics-based noise modeling for extreme low-light photog- raphy.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11):8520–8537, 2021

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.329523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 742f0a61-f2d7-4dc5-b57e-9e391ad5c7b7 · outbound

This paper cites Visionisp: Repurposing the image signal processor for computer vision applications.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Visionisp: Repurposing the image signal processor for computer vision applications

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.319417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09c5b574-9919-49f8-a636-052d4f356a18 · outbound

This paper cites Simrod: A simple baseline for raw object detec- tion with global and local enhancements.arXiv preprint arXiv:2503.07101, 2025.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Simrod: A simple baseline for raw object detec- tion with global and local enhancements.arXiv preprint arXiv:2503.07101, 2025

Reference 49

Resolution: verified exact; raw_fallback, observed 2026-08-05T19:56:16.162504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42c7ac62-e708-4bef-b273-940e2920d88f · outbound

This paper cites Invertible image signal processing.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Invertible image signal processing

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.309376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05205096-c0d2-48c7-94d4-f290ec7149b3 · outbound

This paper cites Learning in the frequency domain.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Learning in the frequency domain

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.299810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d4b0c14-d54a-435f-bff7-124c545a1e74 · outbound

This paper cites Toward raw object detection: A new benchmark and a new model.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Toward raw object detection: A new benchmark and a new model

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.289177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af0e3f58-d00a-463b-8eef-87618f7c08bd · outbound

This paper cites Dynamicisp: dynamically controlled image sig- nal processor for image recognition.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Dynamicisp: dynamically controlled image sig- nal processor for image recognition

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.279095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88ba862f-2d3d-4f2c-acbe-669f5f788415 · outbound

This paper cites Reconfigisp: Reconfigurable camera image processing pipeline.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Reconfigisp: Reconfigurable camera image processing pipeline

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.269042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 551132bc-4b99-48d3-8b06-e29b0eb46633 · outbound

This paper cites Isp-teacher: Image signal process with disentanglement regularization for unsupervised domain adaptive dark object detection.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Isp-teacher: Image signal process with disentanglement regularization for unsupervised domain adaptive dark object detection

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.259237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f48cf8da-a275-4ad6-bb4e-25144d4d422d · outbound

This paper cites Learning raw-to-srgb mappings with inaccurately aligned supervision.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Learning raw-to-srgb mappings with inaccurately aligned supervision

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T19:56:16.033115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef73ba41-617e-4cbe-946c-e8eb1f944828 · outbound

This paper cites Scene parsing through ade20k dataset.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection Scene parsing through ade20k dataset

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.242684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e2a4e600-b147-4e54-a156-501aa12a3562 · outbound

This paper cites His- togram of oriented gradients feature extraction from raw bayer pattern images.IEEE Transactions on Circuits and Systems II: Express Briefs, 67(5):946–950, 2020.

FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection His- togram of oriented gradients feature extraction from raw bayer pattern images.IEEE Transactions on Circuits and Systems II: Express Briefs, 67(5):946–950, 2020

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:56:16.232937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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