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Paper Citation Record · LEDGER

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale

As of 17 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2508.09000.

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

pith.paper-citation-record.v1
2508.09000 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:40:36.469397Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T20:39:48.872028Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T13:55:28.706142Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6aa511f-a656-4a8c-897b-238ec0735774 · outbound

This paper cites (21),(22), (23), and (24), respectively.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale (21),(22), (23), and (24), respectively

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6b537797-c020-4782-9521-bb83590f8867 · outbound

This paper cites an unresolved cited work.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-15T17:40:36.262780Z digest=sha256:c4503052036aa95a6a21b920b57b687c905d8be4d0b836c1c970e21a02d178df

Observation 681eaefb-9d11-4e2a-851c-7ca813e9db1c · outbound

This paper cites Haroche and J.-M.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Haroche and J.-M

Reference 3

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Observation 97c26373-9afa-41af-9ee2-a436b0aa3caf · outbound

This paper cites an unresolved cited work.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:40:36.273010Z digest=sha256:866ca8855649bd59f71a6df5824db717330eb928f4534cd37f786761fd2d08dd

Observation cb5a651f-6abd-48f9-b72a-87d4493fc36d · outbound

This paper cites an unresolved cited work.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:40:36.278341Z digest=sha256:00ecede0cfa8c5059ea266743da438b7579b6bddfd97dc344b6feb643d0fff2c

Observation f3ae623e-fa9b-4650-905c-0fe582f57975 · outbound

This paper cites Aschauer and H.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Aschauer and H

Reference 6

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no resolver link, observed 2026-08-15T17:40:36.283698Z

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Observation 4d73f5a7-ea8a-4941-842e-ac1288909f42 · outbound

This paper cites Matsuzaki, S.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Matsuzaki, S

Reference 7

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source=pdf_text observed=2026-08-15T17:40:36.289666Z digest=sha256:5eeff9457bc280545f1d2e2c71dacf46d26b32c818025b2f7a502ef20a35018d

Observation 2c68a8ba-5d7b-4cf2-ace2-fc542013c466 · outbound

This paper cites Albash and D.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Albash and D

Reference 8

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Observation 603c5669-3456-4592-aa8d-69b619dc05de · outbound

This paper cites Schlosshauer, Decoherence and the quantum-to- classical transition (Springer, Berlin, Germany, 2007).

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Schlosshauer, Decoherence and the quantum-to- classical transition (Springer, Berlin, Germany, 2007)

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:40:36.299944Z digest=sha256:98c22bbe39c09c344205450ab4c999cb31c89d27cf9b86a471be2e3bf868ea4c

Observation 8868ed0e-db6b-4792-8f6a-9a14e1d677ce · outbound

This paper cites an unresolved cited work.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

Reference 10

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Unavailable: canonical work link unavailable.

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Observation ab78c560-cfb9-4d5d-979f-18484541c6d3 · outbound

This paper cites Singh, Arvind, and K.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Singh, Arvind, and K

Reference 11

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Observation c6ae8959-9f23-4a71-97f3-0ce0feaced5e · outbound

This paper cites Deslauriers, S.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Deslauriers, S

Reference 12

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source=pdf_text observed=2026-08-15T17:40:36.315722Z digest=sha256:e12189df17a5d84eb06d1810cb82bfc19d8d65d82b5daa0a234c79ca2c5ce0a0

Observation 79091587-cd92-4b51-ad70-dee0c02ca1e7 · outbound

This paper cites Zhang, R.-B.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Zhang, R.-B

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation eb9e5d62-94ad-4ad8-8b4e-874b7f2c2c82 · outbound

This paper cites an unresolved cited work.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

Reference 14

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raw_fallback, observed 2026-08-15T17:40:36.887834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ca36eb66-f779-4cfd-83ac-47ed522e1c58 · outbound

This paper cites Wang, B.-M.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Wang, B.-M

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-15T17:40:36.869242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 79d1a59e-8c0e-40c0-9c19-8bef26b487e5 · outbound

This paper cites Harraz and S.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Harraz and S

Reference 16

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raw_fallback, observed 2026-08-15T17:40:36.852023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f539cf7a-a864-465a-8177-985a7a7e5a53 · outbound

This paper cites Kim, J.-C.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Kim, J.-C

Reference 17

Resolution
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raw_fallback, observed 2026-08-15T17:40:36.835874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:40:36.340306Z digest=sha256:637aea1b11c7e4230ca028fbce52dfd17c292deb87a0307a35c503afc981d07b

Observation c4a3f2cd-3fd9-4c68-bf97-63b8bd523f9d · outbound

This paper cites Experimental decoherence mitigation using a weak measurement-based scheme and the duality quantum algorithm.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Experimental decoherence mitigation using a weak measurement-based scheme and the duality quantum algorithm

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:40:36.345163Z digest=sha256:b4d9b4e3628cbed736694762fbd5aaaf5166a6d1c4c72018fcd6922dd40eba8e

Observation e67e85b9-4249-4d67-85be-c00b0cc9ff55 · outbound

This paper cites Ryan-Anderson, J.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Ryan-Anderson, J

Reference 19

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raw_fallback, observed 2026-08-15T17:40:36.817835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bd33dc39-fb98-411c-8f11-f03517afe339 · outbound

This paper cites Gicev, L.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Gicev, L

Reference 20

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raw_fallback, observed 2026-08-15T17:40:36.800684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:40:36.356242Z digest=sha256:cd74c0999a73875ead57e035e991d3a2886e8fc39e5b7afc5fe02b4ab2f5b815

Observation 4245ed7b-56a6-413c-9d8f-a71079ce9dc5 · outbound

This paper cites Petz, Commun.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Petz, Commun

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d0e0729e-9bec-4c8a-a3ff-c862cb4f51f0 · outbound

This paper cites Petz, Rev.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Petz, Rev

Reference 22

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raw_fallback, observed 2026-08-15T17:40:36.772672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b6c7eb01-3b44-4c1d-bab2-0cc4e5b545c0 · outbound

This paper cites an unresolved cited work.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 84cce0ef-7c10-49b1-9c44-d8cc8368f0c0 · outbound

This paper cites Barnum and E.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Barnum and E

Reference 24

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Observation 7e0e1b24-443a-4e09-9c08-ba9272ff4d5d · outbound

This paper cites an unresolved cited work.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

Reference 25

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Observation 2a13b6b5-3053-4668-94fd-78018e93c748 · outbound

This paper cites an unresolved cited work.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

Reference 26

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Observation 426c7611-c60f-44bd-b81f-41cadbccf568 · outbound

This paper cites an unresolved cited work.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

Reference 27

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Unavailable: canonical work link unavailable.

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Observation 2bd7b3a0-547d-4f4a-8514-fd61e5688dfc · outbound

This paper cites Surace and M.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Surace and M

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:40:36.397726Z digest=sha256:10fdb541df6200475780652d54b2901e610439aeccf461f244881fb036439303

Observation a690459a-87b2-4488-b28e-2afd35ce125d · outbound

This paper cites Png and V.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Png and V

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-15T17:40:36.683706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cb347778-5fc3-45d7-a3e7-8d7f72db4933 · outbound

This paper cites Gilyén, S.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Gilyén, S

Reference 30

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Observation ee4eb62b-fc47-4e83-8b78-163e584d38a0 · outbound

This paper cites Biswas, G.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Biswas, G

Reference 31

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Observation 406a3661-0b48-4a9a-bc37-6b31e704983c · outbound

This paper cites Lautenbacher, F.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Lautenbacher, F

Reference 32

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raw_fallback, observed 2026-08-15T17:40:36.642725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cf875fc9-2fee-4337-af73-efaddede7f01 · outbound

This paper cites Lautenbacher, V.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Lautenbacher, V

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c16e3d54-6fdb-4a11-912b-0a61402a7fb7 · outbound

This paper cites Xin, S.-J.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Xin, S.-J

Reference 34

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no resolver link, observed 2026-08-15T17:40:36.429937Z

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Unavailable: canonical work link unavailable.

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Observation 56b69751-fbe2-43f1-94d0-f03b34e95150 · outbound

This paper cites Jagadish and F.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Jagadish and F

Reference 35

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no resolver link, observed 2026-08-15T17:40:36.434792Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:40:36.434792Z digest=sha256:7d112f171c54f3c31eb101889d0cef15c6080d2ab859d3b4d3334451a7234b1d

Observation 69bc0b1a-ef11-4487-9a9d-3090bd81456d · outbound

This paper cites an unresolved cited work.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-15T17:40:36.439681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:40:36.439681Z digest=sha256:5775194a1271a2193fdc81601924c56c91cb77f35bf43c5e1a80d4037553ea18

Observation 42b89f28-9230-49aa-96c3-589e7d9e8779 · outbound

This paper cites Gaikwad, Arvind, and K.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Gaikwad, Arvind, and K

Reference 37

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UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Uhlmann, Rep

Reference 38

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This paper cites Jozsa, J.

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Jozsa, J

Reference 39

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UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

Reference 40

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UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Gulati, V

Reference 41

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UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Unresolved cited work

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Pith citing papers

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Frequency-Guided Deformable Networks for Continuous Phase Alignment cites this paper.

Frequency-Guided Deformable Networks for Continuous Phase Alignment UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale

Reference 32

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UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization cites this paper.

UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale

Reference 47

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