Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation | Paper Citation Record

Observation 169085cf-3e9c-4ca1-b8fd-f34ce556fe6f · outbound

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

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Playing for data: Ground truth from computer games,

Reference 1

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

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes,

Reference 2

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This paper cites Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes,

Reference 3

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Observation 9c1b5925-6ed6-4366-aae0-19ffc23c94d1 · outbound

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

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 4

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Observation 7e30712c-dcc7-48f9-bd3c-2b5c20d865a0 · outbound

This paper cites Adversarial learning for semi-supervised semantic segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Adversarial learning for semi-supervised semantic segmentation,

Reference 5

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Observation f8b635ef-0f9e-4cae-942b-9d5b73f651c3 · outbound

This paper cites Semi- supervised automatic segmentation of layer and ﬂuid region in retinal optical coherence tomography images using adversarial learning,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Semi- supervised automatic segmentation of layer and ﬂuid region in retinal optical coherence tomography images using adversarial learning,

Reference 6

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Observation 75230b47-4310-40a8-bbb9-a64b7017c5a2 · outbound

This paper cites A survey on deep learn- ing techniques for image and video semantic segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation A survey on deep learn- ing techniques for image and video semantic segmentation,

Reference 7

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Observation ff787ea2-abc0-40c1-bced-b64fe0db34f9 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Fully convolutional networks for semantic segmentation,

Reference 8

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Observation b1895488-989b-4495-8340-c81db64a79f0 · outbound

This paper cites Multi-scale context aggregation by dilated convolutions,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Multi-scale context aggregation by dilated convolutions,

Reference 9

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This paper cites Pyramid scene parsing network,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Pyramid scene parsing network,

Reference 10

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Observation 328de90d-7821-4efd-955e-d81141818037 · outbound

This paper cites Crdoco: Pixel- level domain transfer with cross-domain consistency,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Crdoco: Pixel- level domain transfer with cross-domain consistency,

Reference 11

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Observation 7e1393f0-705d-41a9-8433-80823ebb87c6 · outbound

This paper cites Game theoretic analysis of road user safety scenarios involving autonomous vehicles,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Game theoretic analysis of road user safety scenarios involving autonomous vehicles,

Reference 12

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Observation 9d269867-684b-4409-ac4b-650a441ca32c · outbound

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

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation The Cityscapes dataset for semantic urban scene understanding,

Reference 13

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Observation fe8af1f3-16fb-4f14-9b74-1666e5b23ad8 · outbound

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

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation The Mapillary vistas dataset for semantic understanding of street scenes,

Reference 14

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Observation 6154087f-5de5-4b8a-bcfd-9de01e1ecf4e · outbound

This paper cites BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Reference 15

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Observation c27f657f-cbaf-4aa6-bcb7-d004d9c45031 · outbound

This paper cites Curriculum domain adaptation for semantic segmentation of urban scenes,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Curriculum domain adaptation for semantic segmentation of urban scenes,

Reference 16

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This paper cites Road: Reality oriented adaptation for semantic segmentation of urban scenes,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Road: Reality oriented adaptation for semantic segmentation of urban scenes,

Reference 17

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Observation c5cbbc3e-7b52-4c76-b4fe-e7f9d4c80fdd · outbound

This paper cites Attribute dissection of urban road scenes for efﬁ- cient dataset integration,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Attribute dissection of urban road scenes for efﬁ- cient dataset integration,

Reference 18

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Observation 60290883-bee0-413f-a593-ea4105c76c2d · outbound

This paper cites Semantic object classes in video: A high-deﬁnition ground truth database,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Semantic object classes in video: A high-deﬁnition ground truth database,

Reference 19

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Observation ffe1f12e-e863-4151-8ca1-4ccafb27aea4 · outbound

This paper cites Constrained convolutional neural networks for weakly supervised segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Constrained convolutional neural networks for weakly supervised segmentation,

Reference 20

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Observation f7004cef-8f23-40a5-9d4c-20883168ae31 · outbound

This paper cites Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network

Reference 21

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This paper cites Towards weakly supervised seman- tic segmentation by means of multiple instance and multitask learning,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Towards weakly supervised seman- tic segmentation by means of multiple instance and multitask learning,

Reference 22

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Observation 55812083-a235-4880-bb41-22d6275bfb6c · outbound

This paper cites STC: A simple to complex framework for weakly-supervised semantic segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation STC: A simple to complex framework for weakly-supervised semantic segmentation,

Reference 23

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This paper cites Decoupled deep neural network for semi- supervised semantic segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Decoupled deep neural network for semi- supervised semantic segmentation,

Reference 24

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This paper cites Boxsup: Exploiting bounding boxes to super- vise convolutional networks for semantic segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Boxsup: Exploiting bounding boxes to super- vise convolutional networks for semantic segmentation,

Reference 25

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Observation eac3d034-5330-4062-a851-9c15e0c37c4b · outbound

This paper cites Weakly-supervised semantic segmentation network with deep seeded region growing,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Weakly-supervised semantic segmentation network with deep seeded region growing,

Reference 26

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Observation 93c2608a-9b2a-49b9-963c-6c11f37212c0 · outbound

This paper cites Saliency guided deep network for weakly-supervised image segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Saliency guided deep network for weakly-supervised image segmentation,

Reference 27

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This paper cites Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation,

Reference 28

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This paper cites Learning from synthetic data: Addressing domain shift for semantic segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Learning from synthetic data: Addressing domain shift for semantic segmentation,

Reference 29

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This paper cites Semantic segmentation using adversarial networks,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Semantic segmentation using adversarial networks,

Reference 30

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This paper cites A deeper look at dataset bias,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation A deeper look at dataset bias,

Reference 31

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This paper cites Unbiased look at dataset bias,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Unbiased look at dataset bias,

Reference 32

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Observation 20140bcb-18d5-4c3e-be8a-5804c08f97ac · outbound

This paper cites Overcoming dataset bias: An unsupervised domain adaptation approach,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Overcoming dataset bias: An unsupervised domain adaptation approach,

Reference 33

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Observation ade7139f-1171-41a9-b768-26df5cbf2e8d · outbound

This paper cites Undoing the damage of dataset bias,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Undoing the damage of dataset bias,

Reference 34

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This paper cites Learning from simulated and unsupervised images through adversarial training,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Learning from simulated and unsupervised images through adversarial training,

Reference 35

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Observation e4fd0ee7-98ea-4dac-adaa-6c21c54921f6 · outbound

This paper cites Synthetic to real adaptation with generative correlation alignment networks,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Synthetic to real adaptation with generative correlation alignment networks,

Reference 36

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This paper cites Generative image modeling using style and structure adversarial networks,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Generative image modeling using style and structure adversarial networks,

Reference 37

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Observation 1e0e8b11-fdef-4f87-93e8-9420accc88f7 · outbound

This paper cites Generative visual manipulation on the natural image manifold,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Generative visual manipulation on the natural image manifold,

Reference 38

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This paper cites Generating images with recurrent adversarial networks.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Generating images with recurrent adversarial networks

Reference 39

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This paper cites Weakly supervised object localization with progressive domain adaptation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Weakly supervised object localization with progressive domain adaptation,

Reference 40

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This paper cites Cross-domain weakly-supervised object detection through progressive domain adap- tation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Cross-domain weakly-supervised object detection through progressive domain adap- tation,

Reference 41

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This paper cites Uniﬁed deep supervised domain adaptation and generalization,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Uniﬁed deep supervised domain adaptation and generalization,

Reference 42

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This paper cites Semi-supervised Domain Adaptation via Minimax Entropy.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Semi-supervised Domain Adaptation via Minimax Entropy

Reference 43

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Observation 21a8e158-66db-4f04-b1a2-81e915509848 · outbound

This paper cites Unsupervised domain adaptation by backpropagation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Unsupervised domain adaptation by backpropagation,

Reference 44

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Observation d323a685-1d6d-4b60-a5a6-b5f3e91b78cb · outbound

This paper cites Domain-adversarial training of neural networks,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Domain-adversarial training of neural networks,

Reference 45

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This paper cites Learning transferable features with deep adaptation networks,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Learning transferable features with deep adaptation networks,

Reference 46

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Observation 86695cbf-440b-49fb-8aed-ad0ec3f35b14 · outbound

This paper cites Simultaneous deep transfer across domains and tasks,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Simultaneous deep transfer across domains and tasks,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:43:57.530578Z

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Observation 9d632d42-8805-4075-a8d9-194fd1668fbe · outbound

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

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

Reference 48

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This paper cites Unsupervised domain adaptation for tof data denoising with adversarial learning,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Unsupervised domain adaptation for tof data denoising with adversarial learning,

Reference 49

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Observation 2b21e0d1-5533-44f1-b228-954147495479 · outbound

This paper cites Learning to adapt structured output space for semantic segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Learning to adapt structured output space for semantic segmentation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:43:57.501401Z

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Observation 34bf4a14-1547-4725-a04d-058845ddd509 · outbound

This paper cites Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation,

Reference 51

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This paper cites Incremental Learning Techniques for Semantic Segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Incremental Learning Techniques for Semantic Segmentation,

Reference 52

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Observation 5ebe5af5-5bf9-4524-99ec-92143b53e37f · outbound

This paper cites Unsupervised domain adaptation for semantic segmentation via class-balanced self-training,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Unsupervised domain adaptation for semantic segmentation via class-balanced self-training,

Reference 53

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Observation fd433567-a889-44d1-850a-829c2b98cb3c · outbound

This paper cites Penalizing top performers: Conservative loss for semantic segmentation adaptation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Penalizing top performers: Conservative loss for semantic segmentation adaptation,

Reference 54

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Observation 0c322283-663d-4370-89da-ee5b3b950d38 · outbound

This paper cites Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach

Reference 55

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Observation 8e214cf4-4912-4506-bf0c-add8b1ae7242 · outbound

This paper cites Fully convolutional adaptation networks for semantic segmentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Fully convolutional adaptation networks for semantic segmentation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:43:57.424288Z

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Observation cbd43f6b-0d4d-4d53-bc9c-450d6379f40b · outbound

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

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:43:57.408596Z

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Observation 7bd9c7bf-b380-4fa7-bab4-db31e7f1a8d1 · outbound

This paper cites Cycada: Cycle-consistent adversarial domain adapta- tion,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Cycada: Cycle-consistent adversarial domain adapta- tion,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:43:57.390841Z

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Observation f5daebf5-0480-46cf-b357-e8583690a144 · outbound

This paper cites Seeded region growing,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Seeded region growing,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:43:57.376008Z

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Observation 1d86b64b-2daf-44ec-af8b-46834ba8a798 · outbound

This paper cites Seednet: Automatic seed generation with deep reinforcement learning for robust interactive seg- mentation,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Seednet: Automatic seed generation with deep reinforcement learning for robust interactive seg- mentation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:43:57.360164Z

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Observation e98163ed-475f-4a47-a0dc-25ca8fc5336f · outbound

This paper cites Pre-computed weights for ResNet-101,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Pre-computed weights for ResNet-101,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:43:57.344739Z

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Observation 95d0d205-45be-46e7-8578-ca7887538e84 · outbound

This paper cites Microsoft coco: Common objects in context,.

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Microsoft coco: Common objects in context,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:43:57.329959Z

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