Pith. sign in

Paper Citation Record · LEDGER

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation

As of 18 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2411.19297.

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

pith.paper-citation-record.v1
2411.19297 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:24:01.407070Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

69 of 69 outbound references displayed

  • verified exact2
  • verified fuzzy34
  • unresolved32
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 717aea04-fbb7-4b36-a47f-eae4399a6ff9 · outbound

This paper cites Novel dataset for fine-grained image cate- gorization.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Novel dataset for fine-grained image cate- gorization

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.433620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.137220Z digest=sha256:d8b4fccde46b9a998c71fd4d0b4e999c18008800063df9ebb64a6d24da14a21c

Observation f664c052-df3c-4cf1-8d42-b217e5ddd7b0 · outbound

This paper cites Exploring Visual Prompts for Adapting Large-Scale Models.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Exploring Visual Prompts for Adapting Large-Scale Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.141578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.141578Z digest=sha256:f1e8613bb43ba70d82285d15a72ce77b2a74472bda237f21220366ae26ba2866

Observation 1caa6c55-4ddf-4a8d-adcc-84b1f27c9f74 · outbound

This paper cites Improving vision transformers by revis- iting high-frequency components.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Improving vision transformers by revis- iting high-frequency components

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.419455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.146216Z digest=sha256:6a2740a25828d9676737c3a5bf470fb47447d7e31649cc27205eca5d3a079b7a

Observation 477fd43f-a49b-4c92-ba98-1013ddf6d3f5 · outbound

This paper cites Visual prompting via image inpaint- ing.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Visual prompting via image inpaint- ing

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.406974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.150013Z digest=sha256:d886a285ac81adbac83bbfde525e0af6912d0c3188d56c7fc72f08cc1828f929

Observation cad278ce-730a-4610-923f-fc0ef70d588b · outbound

This paper cites Tinytl: Reduce memory, not parameters for efficient on-device learn - ing.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Tinytl: Reduce memory, not parameters for efficient on-device learn - ing

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.393601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.155377Z digest=sha256:e39054e66cbd8123ae724dfd3ecaabf7b5baaa445d250e9fab2d8c2b8747d15f

Observation e6e78482-7f07-40a4-aefa-ebbd24100ba3 · outbound

This paper cites Visual prompting for adversarial robustness.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Visual prompting for adversarial robustness

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.381572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.159472Z digest=sha256:846d9cea57a6aa9d59251c4bc9f03248fde0336acd21e344833f033a04bb611f

Observation e487f2c9-8d1b-4464-b4e5-549c3e96d032 · outbound

This paper cites Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.163344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.163344Z digest=sha256:453e5955b438d6a58dfa059906753b0ccf2ce8b3b74e60fc8d385626af6967f7

Observation 35423faf-28b8-47f3-a982-4b43fb5b5d95 · outbound

This paper cites AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.167582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.167582Z digest=sha256:f1535d298d4887ea2d813474eefeea04c6deb9297240fe1c212d1b8eaff20203

Observation 9cdd2c09-fe9f-4826-86cf-a53dc937f6c9 · outbound

This paper cites An Empirical Study of Training Self-Supervised Vision Transformers.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation An Empirical Study of Training Self-Supervised Vision Transformers

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.171672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.171672Z digest=sha256:cc18b64b64542bea35f186f5f92a0fef785ad33229f603688e0ecc9558bf0d94

Observation a4df3cae-56ac-4efc-887f-f2085a7155dd · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Vision Transformer Adapter for Dense Predictions

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.176019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.176019Z digest=sha256:fc7898805f68124dba91a1ecb0cce5091beb2dd573b90071e084f4314b8f685e

Observation a6cf14ee-81b4-49e2-817f-80629a73a8c9 · outbound

This paper cites Fast fourier convolu - tion.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Fast fourier convolu - tion

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.369931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.180976Z digest=sha256:1d67737ef0c41a146ce0c3b297692b899b1d06ebf581ebce4965bdd5ff8900a4

Observation ee33c21a-e3e0-40c4-831e-a14791578879 · outbound

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

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Imagenet: A large-scale hierarchical image database

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.358685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.184421Z digest=sha256:c4289836f311f226375c3b81b48ac022a596c852d19695f1aec3e0cf4d759ee3

Observation 64feb735-c0e4-41ae-944c-0c36b1a42a84 · outbound

This paper cites Circnn: accelerating and compressing deep neural net - works using block-circulant weight matrices.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Circnn: accelerating and compressing deep neural net - works using block-circulant weight matrices

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.346254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.187784Z digest=sha256:fcaabcc054ef92426e98f7aeecf3b357810eb8ad88e3c57a9c70bfe71a361253

Observation 7e23d932-ca5c-4065-880f-016c8806a613 · outbound

This paper cites LPT: Long-tailed Prompt Tuning for Image Classification.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation LPT: Long-tailed Prompt Tuning for Image Classification

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.191194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.191194Z digest=sha256:ba1111650de6e7a673d8e9921041e47725733c9cb00e39a76f50d999e5239d1c

Observation 34c82c9e-c240-4497-9d42-e69a19aa800e · outbound

This paper cites Attention is not all you need: Pure attention loses rank dou- bly exponentially with depth.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Attention is not all you need: Pure attention loses rank dou- bly exponentially with depth

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.334029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.195584Z digest=sha256:13ca8a827922817d13110e02191f934f9e905b89c7d0a0d17d0eedfd7adfe0d4

Observation 01fa4f5f-c303-4220-8d89-a163c6e730b5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.199328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.199328Z digest=sha256:2c3829dda7a581b5e4916879ab50cb67ee22dad59751b2829cb462f19557d7b5

Observation 472ad5ca-3ab7-41e9-b2bc-bd5577cd5e95 · outbound

This paper cites Parameter-Efficient Fine-Tuning with Discrete Fourier Transform.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Parameter-Efficient Fine-Tuning with Discrete Fourier Transform

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.203007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.203007Z digest=sha256:c233f4c0d727d76dae1b8f03a64f8759a9835071f2c821145237cacb33ab56aa

Observation 9c93182c-7f74-4050-aae4-0c31088ef66b · outbound

This paper cites Fine-grained car detection for vi- sual census estimation.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Fine-grained car detection for vi- sual census estimation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.322322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.207032Z digest=sha256:3c24f1c9c444849a951d7c604fdbf38b0c3e00eff7c4ff311ebcea920cca6753

Observation 1873755e-3531-43de-a10b-bec35f34867b · outbound

This paper cites Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.211097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.211097Z digest=sha256:a9dcce5c1aaa89ac8f42c1d4f0d2af324dd156bcd696eab6089b41a5c46de7f9

Observation 4ab9fdd0-04a1-4763-9f9f-fb0b0f922cd9 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Masked autoencoders are scalable vision learners

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.310333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.215273Z digest=sha256:558c5125362b5a06079645701063d39c673b068cbec9aec952af5f7d8b9bcaac

Observation 7b56469f-19d4-4247-804e-b44385ad9514 · outbound

This paper cites Parameter-efficient transfe r learning for nlp.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Parameter-efficient transfe r learning for nlp

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.297684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.219008Z digest=sha256:49bd3fb483c12c758c09316665594dcfe38acd1e6d72c6c60a9f67af0a5dfc5c

Observation 07b3422f-45f0-467a-b73f-92e406023e18 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation LoRA: Low-Rank Adaptation of Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.222508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.222508Z digest=sha256:5347890856982741d6fba18e5e16ceeae3107f60d3bf5031643357b5bc10e504

Observation 3d257bf4-b70a-4b6f-97f8-4cff542672a5 · outbound

This paper cites Vi- sual prompt tuning.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Vi- sual prompt tuning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.283514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.226376Z digest=sha256:4d3c60ab5c3689d24f91dc07a82246146a92d5e3342c6907914bfe72c11cd7c3

Observation c9f9f92a-5067-4445-9063-aea4dd969a1a · outbound

This paper cites VeRA: Vector-based Random Matrix Adaptation.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation VeRA: Vector-based Random Matrix Adaptation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.230065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.230065Z digest=sha256:c98a72776a7cb95ec69972dbc040bcc76731ba3109372643686e3a6eb831937c

Observation c9224be9-f71b-455f-a862-a66df62978cb · outbound

This paper cites Single-image depth estimation based on fourier do- main analysis.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Single-image depth estimation based on fourier do- main analysis

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.269103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.234020Z digest=sha256:0cc3466b77eb85ffcc82c4f4bc5bb20daaabe875d3bc56bb03d8c481dd57afaa

Observation 814d3d92-66b2-4a00-8036-d333ab600bc0 · outbound

This paper cites FNet: Mixing Tokens with Fourier Transforms.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation FNet: Mixing Tokens with Fourier Transforms

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.237757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.237757Z digest=sha256:51ae70b99f7b134897089f0e3edb3c75b2e7ae4506f6d515b96397a05cfea833

Observation 349dc856-fa93-478b-a184-0fd2c2154279 · outbound

This paper cites Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.241889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.241889Z digest=sha256:ac26d9d413079874ad2e9da18124adb8662839e8c479169455ec4e0038032232

Observation 110a6be5-9584-4e65-b4ae-08da1601cbe6 · outbound

This paper cites Hierarchical Side-Tuning for Vision Transformers.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Hierarchical Side-Tuning for Vision Transformers

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.246008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.246008Z digest=sha256:bf118746b6b00e5a3c9861e179ee35ab3a70f7d5b059c6c4a620e3c06ea97db2

Observation b6c5f422-c804-4123-bfb2-4c0a1e35cce6 · outbound

This paper cites Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.250250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.250250Z digest=sha256:ac03a1fd426f7fe9ca88227e6d00790b48ca765a2130f4fa119216e37c641a95

Observation 04b527f0-699d-4e2b-a9d1-2e1722e7cc89 · outbound

This paper cites Peft: State-of-the-art parameter-efficient fine-tuning me th- ods.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Peft: State-of-the-art parameter-efficient fine-tuning me th- ods

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.254181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.254194Z digest=sha256:1393b480d3c7526988ef834d024cbb3d16b95b84a2e3f20e45d7e4d2974eb7bc

Observation 9ce4f438-2a52-4959-97c9-95b3396a1183 · outbound

This paper cites Automated flower classification over a large number of classes.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Automated flower classification over a large number of classes

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.241311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.259128Z digest=sha256:26af4488b5de3e18803cee9ac9b696c3d6ebd33ee58e37bc1347d73d9b5ed9bf

Observation f48bb99c-1587-4458-8070-ccf9bf6eabf2 · outbound

This paper cites How Do Vision Transformers Work?.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation How Do Vision Transformers Work?

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.262851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.262851Z digest=sha256:de1a7b987c75f854be2066788d8cfecdc395020072787479316d6bfe5c04ba0b

Observation 11629179-9eb8-420d-ab64-f13cf1731f78 · outbound

This paper cites AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.266993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.266993Z digest=sha256:30b04dace9c6c490027575ee31c70990c340b9e6540a9383bdbb67a56ce9a773

Observation 5876f1f9-a810-45ca-b990-bd5c1dcb23ea · outbound

This paper cites AdapterHub: A Framework for Adapting Transformers.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation AdapterHub: A Framework for Adapting Transformers

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.270402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.270402Z digest=sha256:ddefdbef7164d92bb16533dd56e574ba608a1db3c7137a588fd37656b223af68

Observation 8257df84-93e4-48d6-a3e6-710645597825 · outbound

This paper cites Learn- ing transferable visual models from natural language super - vision.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Learn- ing transferable visual models from natural language super - vision

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.229764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.274470Z digest=sha256:0d239625df397c3cbc36a1d69c3e5bbb6fe9f714447b4d183ba4ecba167f0585

Observation df276529-46df-4867-a56b-a4728d70b6d9 · outbound

This paper cites Global filter networks for image classification.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Global filter networks for image classification

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.217493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.278276Z digest=sha256:803445264df8651606370ff515cebc8de9e442fc59c7a1b88bc054debb03b6c5

Observation 4ad5cf8a-cda1-408f-b38c-d881dad8d8ce · outbound

This paper cites Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:24:01.678675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.282267Z digest=sha256:9a8d2e57a44ac48893663ec67aae7a5f39e9c9e27019373aba8795253cbfd0db

Observation 2961c6fb-e505-47ef-8bc9-dd11c0febaec · outbound

This paper cites Multitask Vision-Language Prompt Tuning.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Multitask Vision-Language Prompt Tuning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.286542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.286542Z digest=sha256:57a3edf3bfe7c83cb28530cc5e088fc03e4f3d7c04bd9d7524657fcc077a2b40

Observation 8285183a-f4ed-4f7b-a6db-f3a10dcc92c4 · outbound

This paper cites Inception transformer.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Inception transformer

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.203881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.290686Z digest=sha256:5e292e44ce5d25b6df9d7f46b8b309500cd8dc0d0ca3a12f1f0fbe550c48459d

Observation b3e4e4e2-4d76-4aa1-a005-7e046aedc336 · outbound

This paper cites FFT-based Dynamic Token Mixer for Vision.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation FFT-based Dynamic Token Mixer for Vision

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:24:01.645860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.294419Z digest=sha256:75a64756a3bf4aafea09f56c771c9594945c52dcdc4e981e80af7c7c6e77db9d

Observation 6f4973d4-fb07-42de-8e16-c5f8ca6996e5 · outbound

This paper cites Mlp- mixer: An all-mlp architecture for vision.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Mlp- mixer: An all-mlp architecture for vision

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.191825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.298408Z digest=sha256:9280088e6ce806fe260a4bdd7aa3822aaabf3e7a557c62e0d287f741b718f772

Observation 2fb5ef13-3072-4b2f-bd39-aa4e8575f3b3 · outbound

This paper cites Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grain ed dataset collection.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grain ed dataset collection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.179832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.302125Z digest=sha256:479a64a2c46215228c31165ff7b3fb29652364bce3497eaf4d71e3087a6a8351

Observation 1cffeeed-c152-49e4-a654-0b0ced6c68cc · outbound

This paper cites Attention is all you need.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Attention is all you need

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.168116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.306011Z digest=sha256:0b2695bec5318d6284f30c205a546b6990ed06956f4d4f04c7c54d23becc975d

Observation 66788212-7d57-4572-85c1-8a6d6faaaff0 · outbound

This paper cites Pivot: Prompting for video con- tinual learning.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Pivot: Prompting for video con- tinual learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.156261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.309650Z digest=sha256:a9203c87821a7f85651c267e7f728daebdd1cfc61a820abde6047058149485da

Observation 2df2495a-3886-4636-a2a8-79d1bfbff96f · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation The caltech-ucsd birds-200-2011 dataset

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.143985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.313531Z digest=sha256:eb769ebd4ff9275dbd921cc0419bbafd274305b373633ec1dede72650b29ccd6

Observation 13f68567-211f-45eb-a6b9-985aaa8e96f1 · outbound

This paper cites Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.317096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.317096Z digest=sha256:d2175774bf98ee4b489d90ce0f08dde251d162af147207acacd3bf6bf1961de8

Observation 8a95801a-27f1-4566-a85f-d3622100e79b · outbound

This paper cites P2p: Tuning pre-trained image models for point cloud analysis with point-to-pixel prompting.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation P2p: Tuning pre-trained image models for point cloud analysis with point-to-pixel prompting

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.129951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.321291Z digest=sha256:396a0768cb3912b339436c0c0371b1d88f1bf5d960ae819af336d93b3c543898

Observation dbb0f8b5-4bfe-486f-bd5f-5ad835508d38 · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.117055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.324965Z digest=sha256:97323f987a41c7156bcbc857b6781acc8fbca60b3fc2b3bd9924000a6b277979

Observation a2d3f9d2-9dd5-40be-a06a-3188a1e45e25 · outbound

This paper cites Learning to prompt for continual learning.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Learning to prompt for continual learning

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.103845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.329173Z digest=sha256:017e384302e516e9adc12310ecb5135243f455edfbf2e6a7b314789721e0c931

Observation 8c517727-7360-4b90-b21f-badb03d20828 · outbound

This paper cites Generative visual prompt: Unifying distributional control of pre-trained generative models.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Generative visual prompt: Unifying distributional control of pre-trained generative models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.090977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.332993Z digest=sha256:af145273aebf86a5b86b484208bb9a2304feb0d0791c500946875e53952e7bb2

Observation 2d39b6d1-07f2-454a-9c12-d016bc8808ed · outbound

This paper cites Fda: Fourier domain adaptation for semantic segmentation.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Fda: Fourier domain adaptation for semantic segmentation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.079140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.336764Z digest=sha256:b13ba7bbbcfacba07795c033e5bd197be54a91392461c9927fbe5314244c48ba

Observation cfbb1a37-2b04-4736-b1c8-256fa2ec8ed4 · outbound

This paper cites Improving Visual Prompt Tuning for Self-supervised Vision Transformers.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Improving Visual Prompt Tuning for Self-supervised Vision Transformers

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.341011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.341011Z digest=sha256:477f2198da167a201dc037bd0516f7850d6d3e95e164e7c390154e7a28854176

Observation f1763e42-3d62-444c-ad0f-ba87d004bf99 · outbound

This paper cites Bit fit: Simple parameter-efficient fine-tuning for transformer-ba sed masked language-models.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Bit fit: Simple parameter-efficient fine-tuning for transformer-ba sed masked language-models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.345543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.345543Z digest=sha256:85e2221430dfa3796c905d5872067e676a34c13dbe4cfa2d73e6fdc9ccfd0157

Observation 5d85c084-400b-4158-8f00-52ad4f1cae7e · outbound

This paper cites A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.349367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.349367Z digest=sha256:163e62603be546ab9e5675db77ee6add59e12f71562dffc76be461d49669efa4

Observation 3c116fe5-8305-4b58-8588-4e46af4710ae · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation mixup: Beyond Empirical Risk Minimization

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.353694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.353694Z digest=sha256:5e180804fbd29591c4733bf3b8c1c55a5e282bb85afb9e5ac109e503b60efe3e

Observation de3158b2-254a-4698-9400-25f2f538aae5 · outbound

This paper cites Point- clip: Point cloud understanding by clip.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Point- clip: Point cloud understanding by clip

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:02.067310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.357191Z digest=sha256:784dc2a9c87144e7a6ee0f8d61b43a20af5e170beef2cbb8f188c6f11b1c4418

Observation cceef198-308f-4ffc-a8c2-da8d8a79f1bb · outbound

This paper cites Neural Prompt Search.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Neural Prompt Search

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:01.360437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.360437Z digest=sha256:d57e961c92ca27e349f3f7fe368c37587c2f68c106664ad7b5441c52af55a0df

Observation d5dc3a1c-f6cc-4fba-9ec6-58c09dbb3168 · outbound

This paper cites an unresolved cited work.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:24:02.053347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.364366Z digest=sha256:6786dca8e60826af0d91df002229d59eaed0e69912b2b2b1d1848a5393fbd0ef

Observation 15108a77-5d41-4ad2-92bd-a32fd3e34939 · outbound

This paper cites an unresolved cited work.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:24:02.039752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.368152Z digest=sha256:bb9e38f7683b6d85ed2068c41f5439e6023dfdf0f57a84992ba160a7dab3de8c

Observation f33ecfb7-a7f2-446a-8b35-195e4eeea792 · outbound

This paper cites an unresolved cited work.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:24:02.026461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.371571Z digest=sha256:8f0e42932b7d19e2fc1c961ce716a943df9a89ba5ddc8a4c7a44b2cfb23a2a98

Observation 17c8fc96-7157-49bb-b490-82cb7b0fe815 · outbound

This paper cites an unresolved cited work.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:24:02.013645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.375294Z digest=sha256:f1973ff8405a64127812ab4e3ec5a3af5d31cd09a23c0b718beaea5fe93d6cc6

Observation a0318b7c-d92d-4610-b432-0234191fe701 · outbound

This paper cites an unresolved cited work.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:24:02.000650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.379141Z digest=sha256:c3451e0488ae4b32226c2bb2e84b3bdd51f5e3bf177d6481c58df8cf57ea0d6d

Observation d4f01145-f5ab-4981-be54-e6035d6e5c82 · outbound

This paper cites an unresolved cited work.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:24:01.988910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.382881Z digest=sha256:0b3a4f4876e4697e1f5e1abebc3d59d3d4b0d37ac471cf7ceaac9cfdc202ad63

Observation 284dcf08-df3d-49d2-884d-34d6ac9f9247 · outbound

This paper cites We re-introduce FreqFit and LoRA equations to facilitate the proofs below.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation We re-introduce FreqFit and LoRA equations to facilitate the proofs below

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:01.976459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.386646Z digest=sha256:329dc5be90fa9406e51840cda375b24bc44b4defea5cac65b17427c0829bf254

Observation 0681dccc-25ac-4a83-9bff-5f98cb0794f4 · outbound

This paper cites an unresolved cited work.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:24:01.963479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.390399Z digest=sha256:6ec02d99016366699c369d521db907a05174ec6d6de53686477e570c7c4a60c0

Observation 5503ef03-64cd-4de5-9934-214d314e5b32 · outbound

This paper cites For each position (in frequency domains) in the H× W grid, K contains a unique filter for each of the D channels.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation For each position (in frequency domains) in the H× W grid, K contains a unique filter for each of the D channels

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:01.949062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.394528Z digest=sha256:49b4f80a7b8e1d63d7d129c441afcf2fb466d2422e2894da11aef74fb9f31aaf

Observation dbc5b8da-5938-4429-9fea-8e17e201d5ee · outbound

This paper cites 12 is a token-specific modification, where the D- dimensional representation of each token is updated.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation 12 is a token-specific modification, where the D- dimensional representation of each token is updated

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:01.936114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.399065Z digest=sha256:28ba3d9e5579ff3a9cbe6d674a37e671f60f7313c121249933138a9fed129657

Observation aa3f181b-fefb-4dcb-aaa9-5a606cfbc9fe · outbound

This paper cites 12 is the same across all tokens, meaning it only introduces channel-wise dependencies.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation 12 is the same across all tokens, meaning it only introduces channel-wise dependencies

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:24:01.923425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.403320Z digest=sha256:b24c5b8f4a9312a8ccf9a163fc01d344ff5d97454069dc3285b8f0c2993b745b

Observation 0d846fcc-1849-43ca-bf26-d837de635943 · outbound

This paper cites Following [ 23], we conduct a grid search to find the tuning-specific hyper-parameters, learning rate, and weig ht decay values using val set of each task, as shown in Tab.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation Following [ 23], we conduct a grid search to find the tuning-specific hyper-parameters, learning rate, and weig ht decay values using val set of each task, as shown in Tab

Reference 69

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T10:24:01.911211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T10:24:01.407070Z digest=sha256:68c6921a4671d3c1efaa75bf84c160d8cbfa059091a06ba57a016978f3ad6fff

Pith citing papers

No inbound Pith citation observations are available.