What is the Added Value of UDA in the VFM Era? | Paper Citation Record

Observation a8a30168-31d2-4775-90a0-bae0e33f34ee · outbound

This paper cites Self-supervised Augmen- tation Consistency for Adapting Semantic Segmentation.

What is the Added Value of UDA in the VFM Era? Self-supervised Augmen- tation Consistency for Adapting Semantic Segmentation

Reference 1

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Observation 4fad8663-9c48-4ba7-b45d-89490cb1e357 · outbound

This paper cites PASTA: Proportional Ampli- tude Spectrum Training Augmentation for Syn-to-Real Do- main Generalization.

What is the Added Value of UDA in the VFM Era? PASTA: Proportional Ampli- tude Spectrum Training Augmentation for Syn-to-Real Do- main Generalization

Reference 2

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Observation ba01be05-e439-433d-8202-04066e6a94e1 · outbound

This paper cites End-to-end Autonomous Driving: Challenges and Frontiers.

What is the Added Value of UDA in the VFM Era? End-to-end Autonomous Driving: Challenges and Frontiers

Reference 3

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Observation 595aeb0e-2643-4ca2-b528-b37eb102d1af · outbound

This paper cites PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation.

What is the Added Value of UDA in the VFM Era? PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

Reference 4

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Observation 47ce55bf-7993-46f8-9830-d0282b58d8d7 · outbound

This paper cites Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation.

What is the Added Value of UDA in the VFM Era? Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation

Reference 5

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Observation fdb9d93e-e7b6-4597-9804-2adab1040781 · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

What is the Added Value of UDA in the VFM Era? Vision Transformer Adapter for Dense Predictions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:32.142526Z

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Observation 4da36a47-9662-4f47-8f68-8f63a6faa337 · outbound

This paper cites Schwing, Alexan- der Kirillov, and Rohit Girdhar.

What is the Added Value of UDA in the VFM Era? Schwing, Alexan- der Kirillov, and Rohit Girdhar

Reference 7

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Observation 2786f4fe-80c3-4fa6-9293-fd42cf5e8683 · outbound

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

What is the Added Value of UDA in the VFM Era? Robustnet: Improving domain generalization in urban-scene segmentation via in- stance selective whitening

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:32.117777Z

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Observation fe69b715-697a-49dd-85ee-d7eb98102629 · outbound

This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding.

What is the Added Value of UDA in the VFM Era? The Cityscapes Dataset for Semantic Urban Scene Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:25:31.228569Z

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Observation d2c32022-8199-498d-a56d-d8ecb8cec7bb · outbound

This paper cites Dark model adaptation: Semantic image segmentation from daytime to nighttime.

What is the Added Value of UDA in the VFM Era? Dark model adaptation: Semantic image segmentation from daytime to nighttime

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:32.099381Z

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Observation 90403bba-79ac-41a5-a155-2e99dcc69f8f · outbound

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

What is the Added Value of UDA in the VFM Era? ImageNet: A large-scale hierarchical image database

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:32.088545Z

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Observation d8876a01-d869-4dde-9f4a-2cc59477d72a · outbound

This paper cites VFM-UDA++: Improving Network Architectures and Data Strategies for Unsupervised Domain Adaptive Semantic Segmentation.

What is the Added Value of UDA in the VFM Era? VFM-UDA++: Improving Network Architectures and Data Strategies for Unsupervised Domain Adaptive Semantic Segmentation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:25:31.591551Z

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Observation 651b388c-93d0-4d6f-841d-6b5bddac68c8 · outbound

This paper cites Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adap- tation.

What is the Added Value of UDA in the VFM Era? Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adap- tation

Reference 13

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Observation 80888e93-8401-4901-9566-45d9a4a19aa9 · outbound

This paper cites EVA-02: A Visual Representation for Neon Genesis.

What is the Added Value of UDA in the VFM Era? EVA-02: A Visual Representation for Neon Genesis

Reference 14

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Observation 1d7f2af7-e594-4fd9-8ea6-29bdde1b030a · outbound

This paper cites Semi-supervised semantic segmentation needs strong, varied perturbations.

What is the Added Value of UDA in the VFM Era? Semi-supervised semantic segmentation needs strong, varied perturbations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:25:31.251382Z

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Observation 40a370b2-a0a5-4349-922d-bfa13620326d · outbound

This paper cites G ´omez, Manuel Silva, Antonio Seoane, Agn `es Borr´as, Mario Noriega, Germ ´an Ros, Jose A.

What is the Added Value of UDA in the VFM Era? G ´omez, Manuel Silva, Antonio Seoane, Agn `es Borr´as, Mario Noriega, Germ ´an Ros, Jose A

Reference 16

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Observation d6ef3f9b-e990-4129-b215-25d58907303a · outbound

This paper cites Girshick.

What is the Added Value of UDA in the VFM Era? Girshick

Reference 17

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Observation 1a2d5945-0eff-493f-9754-e67a5bc8a830 · outbound

This paper cites FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation.

What is the Added Value of UDA in the VFM Era? FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T10:25:31.263150Z

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Observation 31434fa5-7077-4083-aa59-f0c5057ef689 · outbound

This paper cites Cycada: Cycle-consistent adversarial domain adaptation.

What is the Added Value of UDA in the VFM Era? Cycada: Cycle-consistent adversarial domain adaptation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:32.043570Z

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Observation b976e22f-5fdd-4c57-8368-edfab3b73c20 · outbound

This paper cites Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier.

What is the Added Value of UDA in the VFM Era? Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:25:31.538788Z

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Observation 42b36e96-d2be-495e-bfc7-774e7880382f · outbound

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

What is the Added Value of UDA in the VFM Era? DAFormer: Improving network architectures and training strategies for domain-adaptive semantic segmentation

Reference 21

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Observation 9dbbe668-08f7-41c6-b58b-ec4a5dd5c759 · outbound

This paper cites HRDA: Context- aware high-resolution domain-adaptive semantic segmenta- tion.

What is the Added Value of UDA in the VFM Era? HRDA: Context- aware high-resolution domain-adaptive semantic segmenta- tion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:32.020968Z

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Observation 9f07b48c-1927-49fc-a8e9-313319f418d7 · outbound

This paper cites MIC: Masked Image Consistency for Context- Enhanced Domain Adaptation.

What is the Added Value of UDA in the VFM Era? MIC: Masked Image Consistency for Context- Enhanced Domain Adaptation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:32.009455Z

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Observation c78afe5c-a7f3-4e13-b455-15ed0efd4fdf · outbound

This paper cites SemiVL: Semi- Supervised Semantic Segmentation with Vision-Language Guidance.

What is the Added Value of UDA in the VFM Era? SemiVL: Semi- Supervised Semantic Segmentation with Vision-Language Guidance

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.997658Z

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Observation ab21b61f-49ae-4189-97a7-b84730c2317e · outbound

This paper cites UDA-Bench: Revisiting Common Assumptions 9 in Unsupervised Domain Adaptation Using a Standardized Framework.

What is the Added Value of UDA in the VFM Era? UDA-Bench: Revisiting Common Assumptions 9 in Unsupervised Domain Adaptation Using a Standardized Framework

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.986147Z

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Observation cffb6ec6-9239-4386-ab83-7fd4d7bb15c1 · outbound

This paper cites How to Benchmark Vision Foundation Models for Semantic Seg- mentation? In CVPRW, 2024.

What is the Added Value of UDA in the VFM Era? How to Benchmark Vision Foundation Models for Semantic Seg- mentation? In CVPRW, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.975057Z

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Observation c3efcf38-2bf0-4b52-bd86-1c4ff6009eb4 · outbound

This paper cites First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation.

What is the Added Value of UDA in the VFM Era? First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:25:31.300502Z

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Observation 61b49d90-78c8-4c82-a362-1a427fad146a · outbound

This paper cites Your ViT is Secretly an Image Segmentation Model.

What is the Added Value of UDA in the VFM Era? Your ViT is Secretly an Image Segmentation Model

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.963676Z

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Observation 853f417b-0500-455a-bd81-4a663e4e2dbb · outbound

This paper cites Temporal Ensembling for Semi-Supervised Learning.

What is the Added Value of UDA in the VFM Era? Temporal Ensembling for Semi-Supervised Learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.951999Z

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Observation 156b2780-d5ab-4518-a66b-9e55e270295d · outbound

This paper cites Decoupled weight decay regularization.

What is the Added Value of UDA in the VFM Era? Decoupled weight decay regularization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T10:25:31.312350Z

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Observation 06ea3555-05ba-4895-b0a0-4df6372e914c · outbound

This paper cites The Mapillary Vistas Dataset for Seman- tic Understanding of Street Scenes.

What is the Added Value of UDA in the VFM Era? The Mapillary Vistas Dataset for Seman- tic Understanding of Street Scenes

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.933594Z

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Observation a56b5242-357c-493e-a177-e7e1af16840d · outbound

This paper cites Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Herv´e J´egou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski.

What is the Added Value of UDA in the VFM Era? Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Herv´e J´egou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski

Reference 32

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Observation 91c821a2-7e9e-4b11-9c6f-2d58e934f355 · outbound

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

What is the Added Value of UDA in the VFM Era? Two at once: Enhancing learning and generalization capacities via ibn-net

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.908198Z

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Observation 69bc8efd-ed0f-4cd5-8b3a-3fdcafab73db · outbound

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

What is the Added Value of UDA in the VFM Era? Global and local texture randomization for synthetic-to-real semantic segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.895729Z

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Observation ce634623-8b94-4fb5-a3e9-85edd79b73c9 · outbound

This paper cites Diffusion- based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation.

What is the Added Value of UDA in the VFM Era? Diffusion- based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.883011Z

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Observation cdfb94a2-a279-4166-b5ea-5fb3ee7b1652 · outbound

This paper cites Piva, Daan de Geus, and Gijs Dubbelman.

What is the Added Value of UDA in the VFM Era? Piva, Daan de Geus, and Gijs Dubbelman

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.870416Z

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Observation f9f2e57b-5e1e-476f-8a37-1abae7b2cd82 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

What is the Added Value of UDA in the VFM Era? Learning Transferable Visual Models From Natural Language Supervision

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T10:25:31.342204Z

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Observation 2bb78288-48d7-4366-bf33-0e5f03004619 · outbound

This paper cites Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun.

What is the Added Value of UDA in the VFM Era? Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.851136Z

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Observation 3e3683bb-bbc6-4186-8482-718de8ac1e42 · outbound

This paper cites Meletis, and G.

What is the Added Value of UDA in the VFM Era? Meletis, and G

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.840416Z

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Observation 5d6524c6-d72e-406c-b1f5-2bfa30cc8295 · outbound

This paper cites an unresolved cited work.

What is the Added Value of UDA in the VFM Era? Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:25:31.830109Z

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Observation e224ff99-d9f9-4bf6-b102-1a86180762e7 · outbound

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

What is the Added Value of UDA in the VFM Era? ACDC: the adverse conditions dataset with correspondences for se- mantic driving scene understanding

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.819959Z

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Observation 7fc41480-0779-4358-98e0-5b691027374e · outbound

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

What is the Added Value of UDA in the VFM Era? DiGA: Distil to generalize and then adapt for domain adaptive semantic segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.809055Z

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Observation b5c332e4-7002-48f5-8905-2dad1aea4d42 · outbound

This paper cites Fixmatch: Simplifying semi- supervised learning with consistency and confidence.

What is the Added Value of UDA in the VFM Era? Fixmatch: Simplifying semi- supervised learning with consistency and confidence

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.798111Z

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Observation 6aad7cb5-a9b0-4c8a-ae76-d283fc74dd5d · outbound

This paper cites an unresolved cited work.

What is the Added Value of UDA in the VFM Era? Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:25:31.787014Z

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Observation 2db434ad-97fb-4e8f-8e29-bbff5a19eeda · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.

What is the Added Value of UDA in the VFM Era? Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.776138Z

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Observation 72bc49eb-54c9-4476-96aa-8385cb0faeac · outbound

This paper cites DACS: Domain Adaptation via Crossdo- main Mixed Sampling.

What is the Added Value of UDA in the VFM Era? DACS: Domain Adaptation via Crossdo- main Mixed Sampling

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.765606Z

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Observation a2ad4e8a-0d1b-43f0-b88b-6c567409fd81 · outbound

This paper cites CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation.

What is the Added Value of UDA in the VFM Era? CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T10:25:31.383940Z

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Observation f5f5c3f1-df8f-4ffc-84ab-95765b5f4646 · outbound

This paper cites ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmen- tation.

What is the Added Value of UDA in the VFM Era? ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmen- tation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.754821Z

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Observation f446a993-a51a-4f8c-8981-5809ce5a8167 · outbound

This paper cites The BRA VO Semantic Segmentation Challenge Results in UNCV2024.

What is the Added Value of UDA in the VFM Era? The BRA VO Semantic Segmentation Challenge Results in UNCV2024

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.743422Z

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Observation a70b484b-2296-4d3e-914c-7497d6c44d6e · outbound

This paper cites Harnessing Diffusion Models for Visual Perception with Meta Prompts.

What is the Added Value of UDA in the VFM Era? Harnessing Diffusion Models for Visual Perception with Meta Prompts

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:25:31.497193Z

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Observation cf721ce2-a7eb-44a3-855f-95562dcd2bbe · outbound

This paper cites Allspark: Reborn labeled features from unlabeled in trans- former for semi-supervised semantic segmentation.

What is the Added Value of UDA in the VFM Era? Allspark: Reborn labeled features from unlabeled in trans- former for semi-supervised semantic segmentation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.732757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ea91bbc-b0e9-470c-a59b-c011ec742d9b · outbound

This paper cites CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation.

What is the Added Value of UDA in the VFM Era? CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.718444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bc048cfe-b93a-4777-b578-af219ad17eb1 · outbound

This paper cites 10 Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation.

What is the Added Value of UDA in the VFM Era? 10 Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.704955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41f93bc4-05fd-4fbd-867e-d64e5a247f96 · outbound

This paper cites Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing.

What is the Added Value of UDA in the VFM Era? Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T10:25:31.414056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78280b8-5d91-429b-85ce-54aab48dbae7 · outbound

This paper cites SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation.

What is the Added Value of UDA in the VFM Era? SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.693234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d0c38d3-6a44-4d07-9878-76f48f0e5ded · outbound

This paper cites ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation.

What is the Added Value of UDA in the VFM Era? ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.681459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dde375f8-a141-44b3-9565-d90903ca6b0b · outbound

This paper cites Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation.

What is the Added Value of UDA in the VFM Era? Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.670156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4f166a4d-42b9-421a-a763-4292016124dc · outbound

This paper cites Unimatch v2: Pushing the limit of semi-supervised semantic segmentation.

What is the Added Value of UDA in the VFM Era? Unimatch v2: Pushing the limit of semi-supervised semantic segmentation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.656397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ea135c3-d30b-47f9-ab4d-f5a8b8a9798d · outbound

This paper cites BDD100K: A Diverse Driving Dataset for Heteroge- neous Multitask Learning.

What is the Added Value of UDA in the VFM Era? BDD100K: A Diverse Driving Dataset for Heteroge- neous Multitask Learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.641708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 34122cb8-269f-41c2-a1b6-7ec85d6c767a · outbound

This paper cites A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation.

What is the Added Value of UDA in the VFM Era? A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.630136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7eeaafb7-5150-40eb-abb3-fae8de25797f · outbound

This paper cites WildDash - Creating Hazard-Aware Benchmarks.

What is the Added Value of UDA in the VFM Era? WildDash - Creating Hazard-Aware Benchmarks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.617899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5a0f9764-4445-4e14-8e6b-7c51217f4687 · outbound

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

What is the Added Value of UDA in the VFM Era? Adversarial style augmentation for domain general- ized urban-scene segmentation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:25:31.604192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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