Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation | Paper Citation Record

Observation c54138ea-6583-43a5-b109-0e0ad164a463 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Style blind domain generalized semantic segmentation via covariance alignment and semantic con- sistence contrastive learning

Reference 1

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Observation 751e01fd-e542-4b6c-b473-6dd651d49a21 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Learning frequency- adapted vision foundation model for domain generalized se- mantic segmentation

Reference 2

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Observation 304462cd-74ab-4d3d-b132-7c2c1be2804c · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Learning content- enhanced mask transformer for domain generalized urban- scene segmentation

Reference 3

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Observation fec8bb50-e7ce-41b3-97d5-484e037ce456 · outbound

This paper cites Ex- ploiting domain-specific features to enhance domain gener- alization.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Ex- ploiting domain-specific features to enhance domain gener- alization

Reference 4

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Observation 9c447abb-13d0-4ce6-ba5e-748cc6df7f8c · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Pasta: Proportional amplitude spectrum training augmentation for syn-to-real domain gen- eralization

Reference 5

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Observation af114a81-6204-4eff-bb5c-d111980f5f12 · outbound

This paper cites Em-trans: Edge-aware multi- modal transformer for rgb-d salient object detection.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Em-trans: Edge-aware multi- modal transformer for rgb-d salient object detection

Reference 6

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Observation af5f7d78-1605-4ea9-8174-d249f85e08a3 · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Adaptformer: Adapting vision transformers for scalable visual recognition

Reference 7

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Observation 188dd088-3c3e-4ebc-9f1f-07da0aa01b16 · outbound

This paper cites Depth Matters: Exploring Deep Interactions of RGB-D for Semantic Segmentation in Traffic Scenes.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Depth Matters: Exploring Deep Interactions of RGB-D for Semantic Segmentation in Traffic Scenes

Reference 8

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Observation 19352fcf-6b7f-4a79-95ca-159ba2bf107e · outbound

This paper cites Hspformer: Hierarchical spatial perception transformer for semantic segmentation.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Hspformer: Hierarchical spatial perception transformer for semantic segmentation

Reference 9

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Observation 838061cc-c0fc-40ee-9a31-d7f09439d706 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Robustnet: Improving domain generalization in urban-scene segmentation via in- stance selective whitening

Reference 10

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Observation 4562eee9-a73e-4513-8902-a7cf3253f87b · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark

Reference 11

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Observation 7be0ae38-1f62-415c-b500-f9c5bf329f4f · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation The cityscapes dataset for semantic urban scene understanding

Reference 12

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Observation f420f923-d772-45d9-8b2a-5041f619028c · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Hgformer: Hierarchical grouping transformer for domain generalized semantic segmentation

Reference 13

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Observation 666c3685-b469-4ddd-9c38-e6c3f6d73a32 · outbound

This paper cites Asymformer: Asymmetrical cross-modal representation learning for mobile platform real-time rgb-d semantic segmentation.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Asymformer: Asymmetrical cross-modal representation learning for mobile platform real-time rgb-d semantic segmentation

Reference 14

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Observation 39035c21-d646-47fe-b0d0-287353db6727 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation EVA-02: A Visual Representation for Neon Genesis

Reference 15

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Observation c4758487-98d4-469c-b0e2-0ca9b40f65bb · outbound

This paper cites Eva: Exploring the limits of masked visual representa- tion learning at scale.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Eva: Exploring the limits of masked visual representa- tion learning at scale

Reference 16

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Observation 9c7667e5-3fd8-4dcf-85e9-4d0a32912ff5 · outbound

This paper cites Epurate-net: Efficient progressive uncertainty refinement analysis for traffic envi- ronment urban road detection.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Epurate-net: Efficient progressive uncertainty refinement analysis for traffic envi- ronment urban road detection

Reference 17

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Observation 52c0f08f-2c82-4c64-810f-c29828e0330c · outbound

This paper cites Unsupervised do- main generalization by learning a bridge across domains.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Unsupervised do- main generalization by learning a bridge across domains

Reference 18

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Observation 444fd0a2-6b80-4647-a267-60a19cdff702 · outbound

This paper cites Learning depth repre- sentation from rgb-d videos by time-aware contrastive pre- training.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Learning depth repre- sentation from rgb-d videos by time-aware contrastive pre- training

Reference 19

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Observation 0ad2dfda-970b-4c24-bc74-aaa05e9f56b0 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

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Observation 484b3cc2-5dd5-4680-ab9a-d27896bc539d · outbound

This paper cites Itera- tive normalization: Beyond standardization towards efficient whitening.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Itera- tive normalization: Beyond standardization towards efficient whitening

Reference 21

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Observation 8c3af5f7-70df-4369-9faf-8718d5d75c71 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Style pro- jected clustering for domain generalized semantic segmenta- tion

Reference 22

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Observation 777631bb-32e3-4f5c-ba93-4ae8f1446aec · outbound

This paper cites Vi- sual prompt tuning.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Vi- sual prompt tuning

Reference 23

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Observation 869e1bb6-1822-4a97-a976-2954e45368e6 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Pin the memory: Learning to generalize semantic segmentation

Reference 24

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This paper cites Segment any- thing.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Segment any- thing

Reference 25

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Observation 3a17d15f-228e-4255-9b93-33e9454c70ad · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Wildnet: Learning domain generalized semantic seg- mentation from the wild

Reference 26

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Observation 6b8a5069-675e-44d7-9d55-99a9fb25a78d · outbound

This paper cites Deep hypersphere feature regularization for weakly supervised rgb-d salient object detection.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Deep hypersphere feature regularization for weakly supervised rgb-d salient object detection

Reference 27

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Observation 870d59ad-f1ce-4d6e-9ce1-212999f2b83f · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation The mapillary vistas dataset for semantic understanding of street scenes

Reference 28

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Observation fcf3cecf-7453-4c16-8d24-89cdf47ce801 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Generalization by adaptation: Diffusion-based domain extension for domain-generalized semantic segmentation

Reference 29

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Observation 7bed33a9-bacf-4a41-8f35-1d20211285d2 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation DINOv2: Learning Robust Visual Features without Supervision

Reference 30

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Observation e8d68b94-e4c1-4679-bd98-d424a9606b1f · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Two at once: Enhancing learning and generalization capacities via ibn-net

Reference 31

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Observation 3c74d6c2-fea8-4da4-8156-af2ed18163a9 · outbound

This paper cites Switchable whitening for deep representation learning.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Switchable whitening for deep representation learning

Reference 32

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Observation 0832ee21-072a-4804-b45d-c09f506e547e · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Global and local texture randomization for synthetic-to-real semantic segmentation

Reference 33

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Observation 3657b691-7c93-4187-936e-474659bf73fb · outbound

This paper cites Semantic-aware domain generalized segmentation.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Semantic-aware domain generalized segmentation

Reference 34

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This paper cites Semantic-aware domain generalized segmentation.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Semantic-aware domain generalized segmentation

Reference 35

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Observation 89951f43-371f-42f1-b6b4-73f77d544700 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Learning transferable visual models from natural language supervi- sion

Reference 36

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Observation 276837a3-dc24-4423-9308-e72885fd2fe1 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Playing for data: Ground truth from computer games

Reference 37

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Observation b5259973-7ec0-46bc-a4bd-3041b328de0b · outbound

This paper cites Source- free domain adaptation for rgb-d semantic segmentation with vision transformers.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Source- free domain adaptation for rgb-d semantic segmentation with vision transformers

Reference 38

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Observation b8c80916-6480-4cc1-84d6-d09c5ea594fe · outbound

This paper cites Source- free domain adaptation for rgb-d semantic segmentation with vision transformers.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Source- free domain adaptation for rgb-d semantic segmentation with vision transformers

Reference 39

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Observation 611fb458-4a85-4e26-a725-7f2b36167496 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Acdc: The adverse conditions dataset with correspondences for se- mantic driving scene understanding

Reference 40

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Observation 44b7ed65-ac0a-42cf-95a0-aecc3579760a · outbound

This paper cites Open domain generalization with domain-augmented meta-learning.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Open domain generalization with domain-augmented meta-learning

Reference 41

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Observation 06b6e1a6-6d4f-4be8-b09f-32cced0c6086 · outbound

This paper cites Crossnorm and selfnorm for generaliza- tion under distribution shifts.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Crossnorm and selfnorm for generaliza- tion under distribution shifts

Reference 42

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Observation 566e5c0f-6c8d-4ab2-a42c-4c2d87ec1bfe · outbound

This paper cites Cgfnet: Cross-guided fusion network for rgb- t salient object detection.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Cgfnet: Cross-guided fusion network for rgb- t salient object detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:07.233246Z

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Observation 0b69b49b-cbf5-4f28-b6d8-4810324dedfd · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Stronger fewer & superior: Harnessing vision foundation models for domain generalized semantic segmentation

Reference 44

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Observation e75f844f-44f8-46b2-ad29-94812c6aa565 · outbound

This paper cites Sepico: Semantic-guided pixel contrast for domain adaptive semantic segmentation.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Sepico: Semantic-guided pixel contrast for domain adaptive semantic segmentation

Reference 45

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Observation 3c198db4-f8b3-4d10-9481-b4a1cc2b1753 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Dirl: Domain-invariant representation learning for generalizable semantic segmentation

Reference 46

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Observation 925a4d71-df76-4884-8980-57ccb974e0e8 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Dirl: Domain-invariant representation learning for gen- eralizable semantic segmentation

Reference 47

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Observation 1f2540e4-df0b-4ddc-b2cb-78a0793ca6fb · outbound

This paper cites Pixel difference convolutional network for rgb-d semantic segmentation.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Pixel difference convolutional network for rgb-d semantic segmentation

Reference 48

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Observation 66b31873-fb53-45aa-960f-e0a9be1923a4 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 49

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This paper cites Depth any- thing v2.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Depth any- thing v2

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:07.128551Z

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Observation c0dfc202-dae6-4566-9839-4387643784ea · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:07.112456Z

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Observation 8938e567-8f0a-496d-95d8-301efbf80b11 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:07.097531Z

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Observation 58aa2c2e-4e1c-41af-a685-7de1779a8a9c · outbound

This paper cites Prototypical cross-domain self-supervised learn- ing for few-shot unsupervised domain adaptation.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Prototypical cross-domain self-supervised learn- ing for few-shot unsupervised domain adaptation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:07.082464Z

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Observation 2328ddcd-3d4a-4590-8a83-70958573e6d2 · outbound

This paper cites Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:07.066455Z

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Observation 7f3a762f-636f-4c26-9fe3-16c8b8b310aa · outbound

This paper cites Unseen object instance segmentation with fully test-time rgb-d embeddings adaptation.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Unseen object instance segmentation with fully test-time rgb-d embeddings adaptation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:07.051126Z

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Observation 7b111950-06fa-470f-a19b-53c35e6b29ae · outbound

This paper cites Towards unsupervised do- main generalization.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Towards unsupervised do- main generalization

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:07.034163Z

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Observation dff71291-7b45-4d1b-a3b9-a522a03bd182 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Style-hallucinated dual consistency learning for domain generalized semantic segmentation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:07.018254Z

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Observation c3765de4-9a1e-42c8-ae5f-65282a2e7f98 · outbound

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

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Adversarial style augmentation for domain general- ized urban-scene segmentation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:07.002260Z

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Observation ab9a8657-c32d-470f-91c9-eb3c9b57f8b6 · outbound

This paper cites Ccafnet: Crossflow and cross-scale adaptive fusion network for detecting salient objects in rgb-d images.IEEE TMM, 24: 2192–2204, 2022.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Ccafnet: Crossflow and cross-scale adaptive fusion network for detecting salient objects in rgb-d images.IEEE TMM, 24: 2192–2204, 2022

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:06.986133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e7d9963-fb39-47cf-ae29-25ff37c598c3 · outbound

This paper cites Cmpffnet: Cross-modal and progressive feature fusion net- work for rgb-d indoor scene semantic segmentation.

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation Cmpffnet: Cross-modal and progressive feature fusion net- work for rgb-d indoor scene semantic segmentation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:29:06.969910Z

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