Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing | Paper Citation Record

Observation ec77ab36-cb14-438c-a0fb-3d1025c7a0c1 · outbound

This paper cites Physics-informed neural mapping and motion planning in unknown environments,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Physics-informed neural mapping and motion planning in unknown environments,

Reference 1

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Observation a7e5f241-0697-4b45-a769-4f5fc94fcb0a · outbound

This paper cites OccNeRF: Advancing 3D occupancy prediction in LiDAR-free environments,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing OccNeRF: Advancing 3D occupancy prediction in LiDAR-free environments,

Reference 2

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Observation f9e64769-e201-4df9-a3ae-2ac5add00641 · outbound

This paper cites Decouple ego-view motions for predicting pedestrian trajectory and intention,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Decouple ego-view motions for predicting pedestrian trajectory and intention,

Reference 3

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Observation 6a6cb9d1-dad6-43ed-979a-27e8f5d581e7 · outbound

This paper cites DALI: Domain adaptive lidar object detection via distribution-level and instance-level pseudolabel denoising,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing DALI: Domain adaptive lidar object detection via distribution-level and instance-level pseudolabel denoising,

Reference 4

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Observation 22805344-f2fc-42fe-a9b4-713c45b3db1c · outbound

This paper cites Toward generative understanding: Incremental few-shot semantic segmentation with diffusion models,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Toward generative understanding: Incremental few-shot semantic segmentation with diffusion models,

Reference 5

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Observation 87f9c7a3-ebfb-4236-a32f-12051d7a1533 · outbound

This paper cites Source-free domain adaptation for semantic segmenta- tion,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Source-free domain adaptation for semantic segmenta- tion,

Reference 6

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Observation 5176c3d8-2626-4dd7-9a12-d3b163c30fe7 · outbound

This paper cites C-SFDA: A curriculum learning aided self-training framework for efficient source free domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing C-SFDA: A curriculum learning aided self-training framework for efficient source free domain adaptation,

Reference 7

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Observation 49d8154b-5c11-4fe9-898c-b72656784dc7 · outbound

This paper cites Category contrast for unsupervised domain adaptation in visual tasks,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Category contrast for unsupervised domain adaptation in visual tasks,

Reference 8

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Observation 628ce4ef-5623-445f-81c2-842ad9bfbdb6 · outbound

This paper cites Adaptive refining-aggregation-separation framework for unsupervised domain adaptation semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Adaptive refining-aggregation-separation framework for unsupervised domain adaptation semantic segmentation,

Reference 9

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Observation 8f0f3db1-598b-4da9-b174-e7a9770054b9 · outbound

This paper cites Prototypical bidirectional adaptation and learning for cross-domain semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Prototypical bidirectional adaptation and learning for cross-domain semantic segmentation,

Reference 10

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Observation 998a4617-87cb-47cb-a0e7-aec4e38220e7 · outbound

This paper cites A curriculum-style self-training approach for source- free semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing A curriculum-style self-training approach for source- free semantic segmentation,

Reference 11

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Observation e92ef299-d711-4bff-b40d-e40f84747a41 · outbound

This paper cites Self-mining the confident prototypes for source-free unsupervised domain adaptation in image segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Self-mining the confident prototypes for source-free unsupervised domain adaptation in image segmentation,

Reference 12

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Observation 5f101631-fac4-48e2-8e32-6386453f981a · outbound

This paper cites Towards source-free domain adaptive semantic seg- mentation via importance-aware and prototype-contrast learning,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Towards source-free domain adaptive semantic seg- mentation via importance-aware and prototype-contrast learning,

Reference 13

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Observation 0c2f5890-0fe8-4ea0-b802-59066796096f · outbound

This paper cites Stable neighbor denoising for source-free domain adaptive segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Stable neighbor denoising for source-free domain adaptive segmentation,

Reference 14

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Observation 133a231d-10b6-4742-a726-6e6714059533 · outbound

This paper cites HG-SFDA: HyperGraph learning meets source-free un- supervised domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing HG-SFDA: HyperGraph learning meets source-free un- supervised domain adaptation,

Reference 15

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Observation 1fd79ba7-5f0e-4296-95b6-fcad9de36d21 · outbound

This paper cites Unlocking cross-domain synergies for domain adaptive se- mantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Unlocking cross-domain synergies for domain adaptive se- mantic segmentation,

Reference 16

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Observation 3b8d5dd4-237a-439f-8d9b-78e34714561f · outbound

This paper cites Generalize then adapt: Source-free domain adaptive semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Generalize then adapt: Source-free domain adaptive semantic segmentation,

Reference 17

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Observation 81b48336-e8dd-41a8-97e0-d68c326141ad · outbound

This paper cites Personalized sleep staging leveraging source-free unsupervised domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Personalized sleep staging leveraging source-free unsupervised domain adaptation,

Reference 18

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Observation e700b51f-dc07-4c82-a2a3-fd15e3bc4f27 · outbound

This paper cites CoUDA: Continual unsupervised domain adaptation for industrial fault diagnosis under dynamic working conditions,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing CoUDA: Continual unsupervised domain adaptation for industrial fault diagnosis under dynamic working conditions,

Reference 19

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Observation be512442-b094-4c24-8876-ff063ac48e89 · outbound

This paper cites Multi-granularity class prototype topology distillation for class-incremental source-free unsupervised domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Multi-granularity class prototype topology distillation for class-incremental source-free unsupervised domain adaptation,

Reference 20

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Observation f5aacf93-5bce-42c2-ad7e-b1d6f3a2bcc7 · outbound

This paper cites Robust source-free domain adaptation from non-robust source models,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Robust source-free domain adaptation from non-robust source models,

Reference 21

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Observation 9d989dac-45e1-4783-b365-0ffa42407089 · outbound

This paper cites CLIP-powered domain generalization and domain adapta- tion: A comprehensive survey,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing CLIP-powered domain generalization and domain adapta- tion: A comprehensive survey,

Reference 22

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Observation ffe4617e-ea42-4dc5-a312-eba7ef11fdab · outbound

This paper cites Advances in multimodal adaptation and generalization: From traditional approaches to foundation models,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Advances in multimodal adaptation and generalization: From traditional approaches to foundation models,

Reference 23

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Observation 1d50c548-bdb6-4714-a454-224d1c00c909 · outbound

This paper cites Leveraging mixture alignment for multi-source domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Leveraging mixture alignment for multi-source domain adaptation,

Reference 24

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Observation ad2ce00a-6908-496c-8d5d-06162b61b7fd · outbound

This paper cites SimT: Handling open-set noise for domain adaptive semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing SimT: Handling open-set noise for domain adaptive semantic segmentation,

Reference 25

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Observation 5f60587f-1d27-40d3-8573-a01827488a6e · outbound

This paper cites Adaptive adversarial network for source-free domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Adaptive adversarial network for source-free domain adaptation,

Reference 26

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Observation 93a0fcbe-3d1d-4b39-8d20-a614b7e1170c · outbound

This paper cites Cal-SFDA: Source-free domain-adaptive semantic seg- mentation with differentiable expected calibration error,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Cal-SFDA: Source-free domain-adaptive semantic seg- mentation with differentiable expected calibration error,

Reference 27

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Observation a7752703-3739-4d8c-a307-aec2ee934055 · outbound

This paper cites ADVENT: Adversarial entropy minimization for domain adaptation in semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing ADVENT: Adversarial entropy minimization for domain adaptation in semantic segmentation,

Reference 28

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Observation 46c830d8-993e-4194-9389-587e1e666862 · outbound

This paper cites Multiple adaptation network for multi-source and multi- target domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Multiple adaptation network for multi-source and multi- target domain adaptation,

Reference 29

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Observation 514e5b83-645f-4b37-9d2e-f62cf70741b0 · outbound

This paper cites Multi-source unsupervised domain adaptation via pseudo target domain,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Multi-source unsupervised domain adaptation via pseudo target domain,

Reference 30

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Observation ebee7ac8-46e2-44b1-af5d-62a059d696cf · outbound

This paper cites Multi-source multi-modal domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Multi-source multi-modal domain adaptation,

Reference 31

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Observation 114eddcc-acea-43ee-a641-fe66d1a4267e · outbound

This paper cites Multilevel distribution alignment for multisource uni- versal domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Multilevel distribution alignment for multisource uni- versal domain adaptation,

Reference 32

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Observation 677613ea-e6e1-4284-8c5a-492f4c91d9a8 · outbound

This paper cites VDM-DA: Virtual domain modeling for source data- free domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing VDM-DA: Virtual domain modeling for source data- free domain adaptation,

Reference 33

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Observation 26653eac-8508-4476-a69c-fb69889e7f11 · outbound

This paper cites Uncertainty reduction for model adaptation in semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Uncertainty reduction for model adaptation in semantic segmentation,

Reference 34

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Observation ffb771a6-511e-40dd-821e-42bfdd65a827 · outbound

This paper cites Generalized source-free domain-adaptive segmentation via reliable knowledge propagation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Generalized source-free domain-adaptive segmentation via reliable knowledge propagation,

Reference 35

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Observation 8ff51e28-dc75-4397-9de1-49557852a5bc · outbound

This paper cites Cycle self-refinement for multi-source domain adapta- tion,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Cycle self-refinement for multi-source domain adapta- tion,

Reference 36

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Observation ed8ce83b-328c-4bc3-97a4-dc9434964857 · outbound

This paper cites Multi-source domain adaptation for semantic segmen- tation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Multi-source domain adaptation for semantic segmen- tation,

Reference 37

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Observation 67b6be43-2633-4929-8282-b001a0dd6320 · outbound

This paper cites Deep cocktail network: Multi-source unsupervised domain adaptation with category shift,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Deep cocktail network: Multi-source unsupervised domain adaptation with category shift,

Reference 38

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Observation 33f02cc5-f79f-435c-a2f3-ee07732c6f1d · outbound

This paper cites Moment matching for multi-source domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Moment matching for multi-source domain adaptation,

Reference 39

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Observation dcc27856-4a77-48d2-9935-06b02a70b75d · outbound

This paper cites Unsupervised multi-source domain adaptation without access to source data,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Unsupervised multi-source domain adaptation without access to source data,

Reference 40

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Observation 454108e0-f599-4115-a548-e2487d9606d9 · outbound

This paper cites Confident anchor-induced multi-source free domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Confident anchor-induced multi-source free domain adaptation,

Reference 41

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Observation 43ee0653-695f-45e2-bc6a-1c5a6eeb9ded · outbound

This paper cites Discriminability and transferability estimation: A Bayesian source importance estimation approach for multi-source-free domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Discriminability and transferability estimation: A Bayesian source importance estimation approach for multi-source-free domain adaptation,

Reference 42

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Observation 18d6192c-a818-400c-ba51-5e08f64dab4d · outbound

This paper cites On balancing bias and variance in unsupervised multi- source-free domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing On balancing bias and variance in unsupervised multi- source-free domain adaptation,

Reference 43

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Observation 4fb8a64e-bb48-41d3-8771-08641e2a3661 · outbound

This paper cites Multi-source domain adaptation with collaborative learning for semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Multi-source domain adaptation with collaborative learning for semantic segmentation,

Reference 44

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Observation 3a01b71d-a5f0-44bc-b193-a9adcfed0242 · outbound

This paper cites RankMatch: Exploring the better consistency regulariza- tion for semi-supervised semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing RankMatch: Exploring the better consistency regulariza- tion for semi-supervised semantic segmentation,

Reference 45

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Observation adace265-c0d5-4ce6-af91-daf34efb7e8e · outbound

This paper cites Semi-supervised semantic segmentation with high- and low-level consistency,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Semi-supervised semantic segmentation with high- and low-level consistency,

Reference 46

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Observation 896bff80-e474-4f56-8037-27a9781d887f · outbound

This paper cites Semi supervised semantic segmentation using genera- tive adversarial network,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Semi supervised semantic segmentation using genera- tive adversarial network,

Reference 47

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Observation 01b91403-efe5-4ef9-bd5c-2f7135e14a98 · outbound

This paper cites AllSpark: Reborn labeled features from unlabeled in transformer for semi-supervised semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing AllSpark: Reborn labeled features from unlabeled in transformer for semi-supervised semantic segmentation,

Reference 48

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Observation c375b51f-4bea-470f-8c9a-4ca426f3b451 · outbound

This paper cites Saliency as pseudo-pixel supervision for weakly and semi-supervised semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Saliency as pseudo-pixel supervision for weakly and semi-supervised semantic segmentation,

Reference 49

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Observation ba90267e-19cd-4507-b9e2-46be7d709469 · outbound

This paper cites CorrMatch: Label propagation via correlation matching for semi-supervised semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing CorrMatch: Label propagation via correlation matching for semi-supervised semantic segmentation,

Reference 50

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Observation df0c483d-1a5a-43f3-b0e8-270f725a7aa7 · outbound

This paper cites Logic-induced diagnostic reasoning for semi-supervised semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Logic-induced diagnostic reasoning for semi-supervised semantic segmentation,

Reference 51

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Observation 0575881f-e431-43e7-a655-8d2b896f28cf · outbound

This paper cites CustomKD: Customizing large vision foundation for edge model improvement via knowledge distillation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing CustomKD: Customizing large vision foundation for edge model improvement via knowledge distillation,

Reference 52

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Observation fff5f259-ab4b-4a8c-b8e8-b218d6748078 · outbound

This paper cites Feature distillation-based uniformity few-shot domain adaptation for cross-domain fault diagnosis with sample shortage,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Feature distillation-based uniformity few-shot domain adaptation for cross-domain fault diagnosis with sample shortage,

Reference 53

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Observation 8d0e8664-dcf2-405d-bf2b-99c410e0459c · outbound

This paper cites Hyperbolic insights with knowledge distillation for cross-domain few-shot learning,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Hyperbolic insights with knowledge distillation for cross-domain few-shot learning,

Reference 54

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Observation 5729fc9f-df16-48de-9aa6-0bed14e33f4c · outbound

This paper cites Multi-teacher knowledge distillation with reinforcement learning for visual recognition,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Multi-teacher knowledge distillation with reinforcement learning for visual recognition,

Reference 55

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Observation c3b606e5-634c-44dc-a760-50557b72a734 · outbound

This paper cites Class incremental learning with multi-teacher distilla- tion,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Class incremental learning with multi-teacher distilla- tion,

Reference 56

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Observation d18d4738-1681-46d3-97dc-2165edbde47c · outbound

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

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Playing for data: Ground truth from computer games,

Reference 57

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Observation 2e3d9a65-95b2-47fb-ae90-5defb862b73e · outbound

This paper cites The SYNTHIA dataset: A large collection of synthetic images for semantic segmentation of urban scenes,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing The SYNTHIA dataset: A large collection of synthetic images for semantic segmentation of urban scenes,

Reference 58

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Observation bab5b41e-6b79-469e-af59-adc34ebdd831 · outbound

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

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:26:17.189046Z

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Observation 321a972c-bd25-43fd-8f2b-6ec1959a4835 · outbound

This paper cites The mapillary vistas dataset for semantic under- standing of street scenes,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing The mapillary vistas dataset for semantic under- standing of street scenes,

Reference 60

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Observation dee1f8f3-b6fc-4dee-bf34-1ed8c7fbe7f9 · outbound

This paper cites The Cityscapes dataset for semantic urban scene understanding,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing The Cityscapes dataset for semantic urban scene understanding,

Reference 61

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Observation 905eeb38-e817-4aa7-859f-de68c7ac81ca · outbound

This paper cites BDD100K: A diverse driving dataset for heterogeneous multitask learning,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing BDD100K: A diverse driving dataset for heterogeneous multitask learning,

Reference 62

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Observation 21eee099-1336-4518-bcb9-fb1fd374692a · outbound

This paper cites ACDC: The adverse conditions dataset with corre- spondences for semantic driving scene understanding,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing ACDC: The adverse conditions dataset with corre- spondences for semantic driving scene understanding,

Reference 63

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Observation f09e3be5-2285-4ad9-a172-81bb8cccc39e · outbound

This paper cites DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs,

Reference 64

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Observation 1903d703-2638-4d64-afca-08afaac66239 · outbound

This paper cites Deep residual learning for image recognition,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Deep residual learning for image recognition,

Reference 65

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Observation 8f0b7e67-3cf7-4cd4-8941-8bcdd0b9183c · outbound

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

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing DAFormer: Improving network architectures and training strategies for domain-adaptive semantic segmentation,

Reference 66

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Observation 26401955-8ea3-4177-8195-b800bc82d67d · outbound

This paper cites HRDA: Context-aware high-resolution domain-adaptive semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing HRDA: Context-aware high-resolution domain-adaptive semantic segmentation,

Reference 67

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Observation 2ba99ec8-6175-4c7e-93ad-8197c3162789 · outbound

This paper cites Informative data mining for one-shot cross-domain semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Informative data mining for one-shot cross-domain semantic segmentation,

Reference 68

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Observation 241768c9-daac-4f36-8f92-fec7141bdb18 · outbound

This paper cites Model adaptation: Historical contrastive learning for unsupervised domain adaptation without source data,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Model adaptation: Historical contrastive learning for unsupervised domain adaptation without source data,

Reference 69

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Observation 21515d12-9fc4-4da9-9f2c-a4715ee42344 · outbound

This paper cites Towards better stability and adaptability: Improve online self-training for model adaptation in semantic segmentation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Towards better stability and adaptability: Improve online self-training for model adaptation in semantic segmentation,

Reference 70

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Observation 7d67afc2-4a27-43e9-b9f3-5cd2d476479e · outbound

This paper cites DACS: Domain adaptation via cross-domain mixed sampling,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing DACS: Domain adaptation via cross-domain mixed sampling,

Reference 71

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Observation 5219b2b4-815a-4b9f-9abe-b8a64beca424 · outbound

This paper cites VBLC: Visibility boosting and logit-constraint learning for domain adaptive semantic segmentation under adverse conditions,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing VBLC: Visibility boosting and logit-constraint learning for domain adaptive semantic segmentation under adverse conditions,

Reference 72

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Observation f4c12b66-4b1c-41b8-b395-4a145846e231 · outbound

This paper cites Tent: Fully test-time adaptation by entropy mini- mization,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Tent: Fully test-time adaptation by entropy mini- mization,

Reference 73

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Observation f76e753e-211e-4d72-a68f-be4a25007b0c · outbound

This paper cites Continual test-time domain adaptation,.

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing Continual test-time domain adaptation,

Reference 74

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