SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning | Paper Citation Record

Observation 1ff32631-ec18-4a31-a48d-b1de22ee9de6 · outbound

This paper cites Style blind domain generalized semantic segmentation via covariance alignment and semantic consis- tence contrastive learning.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Style blind domain generalized semantic segmentation via covariance alignment and semantic consis- tence contrastive learning

Reference 1

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Observation 2b1380f8-9c63-4758-9d57-c56767b5256f · outbound

This paper cites Foundational Models Defining a New Era in Vision: A Survey and Outlook.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Foundational Models Defining a New Era in Vision: A Survey and Outlook

Reference 2

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Observation f5a922ed-3d51-4577-a20d-ee3b33c321da · outbound

This paper cites Collaborating foundation models for domain generalized semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Collaborating foundation models for domain generalized semantic segmentation

Reference 3

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Observation 5c1002c2-63da-4a6a-adff-4e0623653e8d · outbound

This paper cites Learning frequency- adapted vision foundation model for domain generalized se- mantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Learning frequency- adapted vision foundation model for domain generalized se- mantic segmentation

Reference 4

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Observation e6bf01cb-8abb-4938-b84b-3de4bd7a0fcc · outbound

This paper cites Learning content- enhanced mask transformer for domain generalized urban- scene segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Learning content- enhanced mask transformer for domain generalized urban- scene segmentation

Reference 5

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Observation f4d4d34d-0972-48e1-ae57-72dff02e9468 · outbound

This paper cites Lora learns less and forgets less.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Lora learns less and forgets less

Reference 6

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Observation b760c79e-5e19-4c20-a000-eaabc1ca7d0e · outbound

This paper cites Segmentation results of SoMA on the Cityscapes.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Segmentation results of SoMA on the Cityscapes

Reference 7

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Observation 5045abe4-4bcf-4e14-a6e1-c614f21ceb75 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Emerg- ing properties in self-supervised vision transformers

Reference 8

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Observation bca58909-72f5-4d83-aefc-bec8dd5013d0 · outbound

This paper cites Unified domain generalization and adaptation for multi-view 3d object detection.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Unified domain generalization and adaptation for multi-view 3d object detection

Reference 9

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Observation a037f78f-8bdb-40e0-9b92-742a929e1bd8 · outbound

This paper cites Pasta: Proportional amplitude spectrum training augmentation for syn-to-real domain gen- eralization.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Pasta: Proportional amplitude spectrum training augmentation for syn-to-real domain gen- eralization

Reference 10

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Observation 35e249bf-323c-469c-94fe-2470a3399100 · outbound

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

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.525927Z

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Observation 07f86c5c-a385-43c9-a0e8-21551ebd1d56 · outbound

This paper cites Adaptformer: Adapt- ing vision transformers for scalable visual recognition.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Adaptformer: Adapt- ing vision transformers for scalable visual recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.529365Z

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Observation bb1f7a8b-b0ef-47de-a527-1b53aae510ce · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Masked-attention mask transformer for universal image segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.532154Z

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Observation 21835b49-1414-405a-8aba-8c0fd2bf131a · outbound

This paper cites Robustnet: Improving domain generalization in urban-scene segmentation via in- stance selective whitening.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Robustnet: Improving domain generalization in urban-scene segmentation via in- stance selective whitening

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.535279Z

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Observation 6249d2cb-531a-4d40-831c-32e1f9737035 · outbound

This paper cites MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.538015Z

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Observation 099e426b-8901-4cad-9b47-d10b3de9770a · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning The cityscapes dataset for semantic urban scene understanding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.540893Z

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Observation eecb616f-6f9a-4863-8973-9e9cea80e91b · outbound

This paper cites Improving single domain-generalized object detection: A focus on diversification and alignment.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Improving single domain-generalized object detection: A focus on diversification and alignment

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.607244Z

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Observation 8d6d2c8d-9331-4a98-aa1d-6f7e56724224 · outbound

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

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Imagenet: A large-scale hierarchical image database

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.596450Z

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Observation 49c3f28e-9451-4098-8bcc-1526fffdfb97 · outbound

This paper cites Hgformer: Hierarchical grouping transformer for domain generalized semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Hgformer: Hierarchical grouping transformer for domain generalized semantic segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.586528Z

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Observation 72bbc1e5-ab3a-47d7-a98c-ebdfe961940f · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.555618Z

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Observation 8e94f476-946c-46e0-b224-e164872f7b86 · outbound

This paper cites The approximation of one ma- trix by another of lower rank.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning The approximation of one ma- trix by another of lower rank

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.568898Z

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Observation 90fd54c4-33bb-4f8b-a519-fe0b8052d338 · outbound

This paper cites A simple recipe for language- guided domain generalized segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning A simple recipe for language- guided domain generalized segmentation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.559544Z

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Observation a1754614-b46a-4aed-b043-1ba16592e116 · outbound

This paper cites Towards robust ob- ject detection invariant to real-world domain shifts.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Towards robust ob- ject detection invariant to real-world domain shifts

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.548358Z

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Observation 85fe65e7-f95d-4582-9423-ae37df07c937 · outbound

This paper cites Eva-02: A visual representation for neon genesis.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Eva-02: A visual representation for neon genesis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.536670Z

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Observation 7bafc834-af08-45f9-9ae1-8f8d6d56d416 · outbound

This paper cites Implicit style-content separation using b-lora.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Implicit style-content separation using b-lora

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.525060Z

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Observation a6b418d0-b49a-455e-965a-8d1a6ba43699 · outbound

This paper cites Time matters in regularizing deep networks: Weight decay and data augmentation affect early learning dynamics, matter little near convergence.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Time matters in regularizing deep networks: Weight decay and data augmentation affect early learning dynamics, matter little near convergence

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.514128Z

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Observation 8efc153d-1463-428f-a7e8-2e4547b39c26 · outbound

This paper cites All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.578063Z

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Observation 88f5428b-1a8d-48e4-b16a-65f9553564cd · outbound

This paper cites Towards a unified view of parameter-efficient transfer learning.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Towards a unified view of parameter-efficient transfer learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.504758Z

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Observation aa974c8c-77d1-4d79-8966-0f9bb4589480 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.495348Z

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Observation a9104aa1-b0d1-4cc1-a50a-5b5044eb0fc5 · outbound

This paper cites Deep residual learning for image recognition.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Deep residual learning for image recognition

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.586113Z

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Observation a06daeaf-d360-46a9-82c3-3e7991307d4c · outbound

This paper cites Masked autoencoders are scalable vision learners.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Masked autoencoders are scalable vision learners

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.480131Z

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Observation 10d86bff-dce4-4fbf-a7e8-5b05afd1cd3c · outbound

This paper cites Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.470165Z

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Observation d52e9556-5425-4196-90b5-492bbb63269b · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning LoRA: Low-rank adaptation of large language models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.459765Z

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Observation 8dd4183c-49e1-45fc-9f7e-c888cd5fbfac · outbound

This paper cites Learn to preserve and diversify: Parameter-efficient group with orthogonal regularization for domain generalization.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Learn to preserve and diversify: Parameter-efficient group with orthogonal regularization for domain generalization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.448498Z

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Observation 9e6cf318-2a1f-4df2-a218-37136bcbd845 · outbound

This paper cites Style pro- jected clustering for domain generalized semantic segmenta- tion.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Style pro- jected clustering for domain generalized semantic segmenta- tion

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.438249Z

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Observation ff4ae372-d002-4757-a5db-54cebffd052f · outbound

This paper cites Vltseg: Sim- ple transfer of clip-based vision-language representations for domain generalized semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Vltseg: Sim- ple transfer of clip-based vision-language representations for domain generalized semantic segmentation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.426212Z

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Observation abe9ddaf-2b58-47c9-bd82-c4fa898c93e7 · outbound

This paper cites Vi- sual prompt tuning.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Vi- sual prompt tuning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.415265Z

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Observation 992d65c9-f63f-4300-a460-85d0954a3945 · outbound

This paper cites Dgin- style: Domain-generalizable semantic segmentation with image diffusion models and stylized semantic control.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Dgin- style: Domain-generalizable semantic segmentation with image diffusion models and stylized semantic control

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.404703Z

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

Observation 53374a74-764f-47ce-9076-77031dfd1611 · outbound

This paper cites Domain generalization via balancing training difficulty and model capability.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Domain generalization via balancing training difficulty and model capability

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.392793Z

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Observation b3c069f3-3a0d-4220-be88-088bb81e6895 · outbound

This paper cites Order-preserving consistency regularization for do- main adaptation and generalization.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Order-preserving consistency regularization for do- main adaptation and generalization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.382138Z

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Observation 6923da0e-0888-4657-9676-1deebbb2175d · outbound

This paper cites Increasing the ro- bustness of semantic segmentation models with painting-by- numbers.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Increasing the ro- bustness of semantic segmentation models with painting-by- numbers

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.371653Z

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Observation 878a42b0-0d3e-4975-8ca3-176337e070aa · outbound

This paper cites Pin the memory: Learning to generalize semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Pin the memory: Learning to generalize semantic segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.362495Z

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Observation 07d9ed17-8661-46ce-a68d-b933b788a058 · outbound

This paper cites Tex- ture learning domain randomization for domain generalized segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Tex- ture learning domain randomization for domain generalized segmentation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.352277Z

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Observation c62c9c4e-0084-49cf-8f54-60768fd11e9e · outbound

This paper cites Panoptic feature pyramid networks.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Panoptic feature pyramid networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.341498Z

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Observation 759d09e6-d125-4d3b-8915-dd423d74a41f · outbound

This paper cites Wildnet: Learning domain generalized semantic seg- mentation from the wild.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Wildnet: Learning domain generalized semantic seg- mentation from the wild

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.331284Z

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Observation 3b11b993-9d75-4f57-afbe-582a1b9545f6 · outbound

This paper cites Fifo: Learn- ing fog-invariant features for foggy scene segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Fifo: Learn- ing fog-invariant features for foggy scene segmentation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.320458Z

Source-reported events for the cited work

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Observation 93c60644-68cd-4e49-aef9-107403e5c3c0 · outbound

This paper cites Object-aware domain generalization for object detection.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Object-aware domain generalization for object detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.308144Z

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.

Observation 83439b9d-df23-4af5-b047-0d13ba566846 · outbound

This paper cites Surgical fine- tuning improves adaptation to distribution shifts.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Surgical fine- tuning improves adaptation to distribution shifts

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.295280Z

Source-reported events for the cited work

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Observation a24a14c5-cee8-42b8-9cf6-9fd2c0abed3b · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning The power of scale for parameter-efficient prompt tuning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.646954Z

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Observation 376446bb-e2c7-4fe0-a340-cf9cbf5719de · outbound

This paper cites Prompt-driven dynamic object-centric learning for single do- main generalization.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Prompt-driven dynamic object-centric learning for single do- main generalization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.278340Z

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Observation 677205b3-1622-44c9-8d35-353087c885d8 · outbound

This paper cites Scaling & shifting your features: A new baseline for efficient model tuning.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Scaling & shifting your features: A new baseline for efficient model tuning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.267975Z

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Observation 9e19a534-4382-4669-a9e2-e6577a82e95a · outbound

This paper cites DoRA: Weight-decomposed low-rank adaptation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning DoRA: Weight-decomposed low-rank adaptation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.257526Z

Source-reported events for the cited work

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Observation 843635bb-7525-4fb1-bcdb-c6b44dbdd463 · outbound

This paper cites Unbiased faster r-cnn for single- source domain generalized object detection.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Unbiased faster r-cnn for single- source domain generalized object detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.246630Z

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.

Observation 32aa6ae9-a9a2-4601-880b-2ab3eb000dfd · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Swin transformer: Hierarchical vision transformer using shifted windows

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.235829Z

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.

Observation c5d3e06d-be9f-47e0-b7f8-746c02b4dc99 · outbound

This paper cites Pissa: Prin- cipal singular values and singular vectors adaptation of large language models.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Pissa: Prin- cipal singular values and singular vectors adaptation of large language models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.225284Z

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.

Observation 9acdda60-948a-4440-8854-04246719f2d4 · outbound

This paper cites The mapillary vistas dataset for semantic understanding of street scenes.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning The mapillary vistas dataset for semantic understanding of street scenes

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.216691Z

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.

Observation 8cef9b4c-bd86-459b-bbe4-ffe93d8ca753 · outbound

This paper cites Generalization by adaptation: Diffusion-based domain extension for domain-generalized semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Generalization by adaptation: Diffusion-based domain extension for domain-generalized semantic segmentation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.205939Z

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.

Observation 5122d0e9-20f5-4b19-8f8b-141ed7998021 · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Dinov2: Learning robust visual features without supervision

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.196165Z

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.

Observation 347ee83f-4c1a-4a3c-858a-1f72c800c5c4 · outbound

This paper cites Textual query-driven mask transformer for domain generalized segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Textual query-driven mask transformer for domain generalized segmentation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.185796Z

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.

Observation 88a1634a-45e2-446e-af65-57ef6c74382c · outbound

This paper cites Two at once: Enhancing learning and generalization capacities via ibn-net.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Two at once: Enhancing learning and generalization capacities via ibn-net

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.175354Z

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.

Observation 09ee7c33-39e6-449a-952b-2bd18e3ed69f · outbound

This paper cites Exploring reliable matching with phase enhancement for night-time semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Exploring reliable matching with phase enhancement for night-time semantic segmentation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.164532Z

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.

Observation 2d9ceeb6-8e7f-4df7-9e2d-99531a0c25a2 · outbound

This paper cites Global and local texture randomization for synthetic-to-real semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Global and local texture randomization for synthetic-to-real semantic segmentation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.153142Z

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.

Observation 9e536148-3a9f-4806-b7db-cf8f24d4f2f7 · outbound

This paper cites Semantic-aware domain generalized segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Semantic-aware domain generalized segmentation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.142254Z

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.

Observation 56893fb5-d311-4d11-879c-bab4f8db89a6 · outbound

This paper cites SDXL: Improving latent diffusion mod- els for high-resolution image synthesis.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning SDXL: Improving latent diffusion mod- els for high-resolution image synthesis

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.130667Z

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.

Observation 1fbd141b-e412-4d0e-9929-ff77e17dd333 · outbound

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

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Learn- ing transferable visual models from natural language super- vision

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.697754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22db9416-b32b-4963-854d-3a78b4b91563 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.113727Z

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.

Observation 40501fd9-32a9-42c2-8464-2b0ad8eef208 · outbound

This paper cites Playing for data: Ground truth from computer games.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Playing for data: Ground truth from computer games

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.102647Z

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.

Observation 234918d2-dd68-4525-aa25-54aad3c9fba1 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning High-resolution image syn- thesis with latent diffusion models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.707670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15ce6fca-7aaf-48fc-9ffd-bf2926a03882 · outbound

This paper cites an unresolved cited work.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:51:31.086500Z

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.

Observation 19329d54-0dbd-479c-a1d5-28eb562e58ea · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.075615Z

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.

Observation eb8c4496-1d1e-4f7e-a15a-0f448c7ef098 · outbound

This paper cites Acdc: The adverse conditions dataset with correspondences for se- mantic driving scene understanding.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Acdc: The adverse conditions dataset with correspondences for se- mantic driving scene understanding

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.063973Z

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.

Observation 495f5fd6-fc6b-4d9f-8c08-b3f999faaf2b · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.053609Z

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.

Observation b209896f-4624-45e0-8078-ed6014215603 · outbound

This paper cites Diga: Distil to generalize and then adapt for domain adaptive semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Diga: Distil to generalize and then adapt for domain adaptive semantic segmentation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.043890Z

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.

Observation 12165a88-7093-4d0d-acf0-ffdc936cabce · outbound

This paper cites Crossnorm and selfnorm for general- ization under distribution shifts.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Crossnorm and selfnorm for general- ization under distribution shifts

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.032369Z

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.

Observation e7ae9428-02a6-4bd2-86db-467e5b8f5ab2 · outbound

This paper cites Mrfp: Learning generalizable semantic segmentation from sim-2-real with multi-resolution feature perturbation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Mrfp: Learning generalizable semantic segmentation from sim-2-real with multi-resolution feature perturbation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.020246Z

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.

Observation 3c4670f2-4885-4c9d-a163-e672e15e2bc6 · outbound

This paper cites Attention is all you need.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Attention is all you need

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.730747Z

Source-reported events for the cited work

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Observation 455afec3-53f3-4949-b0a1-ed9962064b44 · outbound

This paper cites Clip the gap: A single domain generalization approach for object detection.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Clip the gap: A single domain generalization approach for object detection

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:31.001973Z

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.

Observation 5140cc25-be86-49fd-932f-57dcc7482fdf · outbound

This paper cites Diffusers: State-of-the-art diffu- sion models.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Diffusers: State-of-the-art diffu- sion models

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.992238Z

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.

Observation d8fbf5b8-2f4a-4a6b-9f92-6fa41a5b8f80 · outbound

This paper cites Disentangle then parse: Night-time se- mantic segmentation with illumination disentanglement.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Disentangle then parse: Night-time se- mantic segmentation with illumination disentanglement

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.982698Z

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.

Observation 3f48b456-2a60-4c1b-b934-0bddac90eddc · outbound

This paper cites Stronger fewer & superior: Harnessing vision foundation models for domain generalized semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Stronger fewer & superior: Harnessing vision foundation models for domain generalized semantic segmentation

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.973399Z

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.

Observation 3327e681-1528-4cde-917b-0480c5e04076 · outbound

This paper cites Con- vnext v2: Co-designing and scaling convnets with masked autoencoders.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Con- vnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.962521Z

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.

Observation b12149c2-697f-4943-94db-71873602d16a · outbound

This paper cites Single-domain generalized object detection in urban scene via cyclic-disentangled self- distillation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Single-domain generalized object detection in urban scene via cyclic-disentangled self- distillation

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.952282Z

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.

Observation 0f9e52ab-00a5-4730-bce6-761920d25b90 · outbound

This paper cites Siamdoge: Domain generalizable semantic segmen- tation using siamese network.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Siamdoge: Domain generalizable semantic segmen- tation using siamese network

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.942428Z

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.

Observation 77d84c74-2ab2-4760-a3a0-3c5b8ae5e022 · outbound

This paper cites Dirl: Domain-invariant representation learning for gen- eralizable semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Dirl: Domain-invariant representation learning for gen- eralizable semantic segmentation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.932295Z

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.

Observation 5ba1d1f2-77c0-4513-992d-5d2dc5d81a17 · outbound

This paper cites Generalized seman- tic segmentation by self-supervised source domain projec- tion and multi-level contrastive learning.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Generalized seman- tic segmentation by self-supervised source domain projec- tion and multi-level contrastive learning

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.923206Z

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.

Observation c3e13a38-5f43-4a06-a834-734194727881 · outbound

This paper cites Learning spectral- decomposited tokens for domain generalized semantic seg- mentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Learning spectral- decomposited tokens for domain generalized semantic seg- mentation

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.913567Z

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.

Observation d52c1179-b5e4-40bc-b834-13b66b51983b · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.903381Z

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.

Observation eebf64b0-dd34-471f-b00d-3d097ef09fd4 · outbound

This paper cites Domain-specific block se- lection and paired-view pseudo-labeling for online test-time adaptation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Domain-specific block se- lection and paired-view pseudo-labeling for online test-time adaptation

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.892528Z

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.

Observation 6439b16b-e6c0-49c7-b152-27ee296cf20a · outbound

This paper cites Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.882134Z

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.

Observation b0d0ce8e-83da-4794-96a9-655fcad73c19 · outbound

This paper cites Style-hallucinated dual consistency learning for domain generalized semantic segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Style-hallucinated dual consistency learning for domain generalized semantic segmentation

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.871665Z

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.

Observation a4abc2bc-4eba-4347-9e1f-b85e91203562 · outbound

This paper cites Adversarial style augmentation for domain general- ized urban-scene segmentation.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Adversarial style augmentation for domain general- ized urban-scene segmentation

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.860951Z

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.

Observation cb94791f-9bd5-4c1e-8920-7ca30a76e973 · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T21:51:30.783409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 967ba21b-3f3a-4338-ac45-c4b747b03012 · outbound

This paper cites Detrs with col- laborative hybrid assignments training.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning Detrs with col- laborative hybrid assignments training

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:51:30.849731Z

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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