See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion | Paper Citation Record

Observation cd9d14ed-81d9-4ae4-aed4-12fcedaefeaa · outbound

This paper cites Unifying terrain awareness through real-time semantic segmentation,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Unifying terrain awareness through real-time semantic segmentation,

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This paper cites Unifying terrain awareness for the visually impaired through real-time semantic segmentation,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Unifying terrain awareness for the visually impaired through real-time semantic segmentation,

Reference 2

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This paper cites Intersection perception through real-time semantic segmentation to assist navigation of visually impaired pedestrians,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Intersection perception through real-time semantic segmentation to assist navigation of visually impaired pedestrians,

Reference 3

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This paper cites Fusion of millimeter wave radar and rgb-depth sensors for assisted navigation of the visually impaired,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Fusion of millimeter wave radar and rgb-depth sensors for assisted navigation of the visually impaired,

Reference 4

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This paper cites Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion

Reference 5

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This paper cites Expanding the detection of traversable area with realsense for the visually impaired,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Expanding the detection of traversable area with realsense for the visually impaired,

Reference 6

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Observation b5a1aa3b-81ab-405a-8bc0-52af0b05282b · outbound

This paper cites Pyramid scene parsing network,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Pyramid scene parsing network,

Reference 7

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This paper cites Reﬁnenet: Multi-path reﬁnement networks for high-resolution semantic segmentation,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Reﬁnenet: Multi-path reﬁnement networks for high-resolution semantic segmentation,

Reference 8

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Observation 59ade02a-f227-4f85-aad0-34259d9f18a8 · outbound

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

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 9

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Observation 4b77bcea-b1a6-409f-972f-c35a72c2a29e · outbound

This paper cites ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation

Reference 10

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This paper cites Can we pass beyond the ﬁeld of view? panoramic annular semantic segmentation for real-world surrounding perception,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Can we pass beyond the ﬁeld of view? panoramic annular semantic segmentation for real-world surrounding perception,

Reference 11

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This paper cites Robustifying semantic cognition of traversability across wearable rgb-depth cameras,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Robustifying semantic cognition of traversability across wearable rgb-depth cameras,

Reference 12

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

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion The cityscapes dataset for semantic urban scene understanding,

Reference 13

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

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion The mapillary vistas dataset for semantic understanding of street scenes,

Reference 14

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Observation e6a11098-2ed0-43e2-832b-2e5d602488e1 · outbound

This paper cites Bridging the day and night domain gap for semantic segmentation,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Bridging the day and night domain gap for semantic segmentation,

Reference 15

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This paper cites Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation

Reference 16

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Observation 5a055fd2-9f30-45bf-9727-ebe1d92a958a · outbound

This paper cites Generative adversarial nets,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Generative adversarial nets,

Reference 17

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Observation 7871869a-1d2e-434c-a106-05554c6ef83b · outbound

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

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Reference 18

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Observation 07325599-01d5-4551-8bd3-2b9a7f8556c8 · outbound

This paper cites A multimodal vision sensor for autonomous driving,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion A multimodal vision sensor for autonomous driving,

Reference 19

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Observation af3d8f57-adf4-460a-bdc8-23f7f5681417 · outbound

This paper cites Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems

Reference 20

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This paper cites A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network

Reference 21

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This paper cites Fully convolutional networks for semantic segmentation,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Fully convolutional networks for semantic segmentation,

Reference 22

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Observation f5a81e40-328f-4e84-b336-be7761b9c853 · outbound

This paper cites Segnet: A deep convolutional encoder-decoder archi- tecture for image segmentation,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Segnet: A deep convolutional encoder-decoder archi- tecture for image segmentation,

Reference 23

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Observation c11bc6b4-4169-403c-98fc-8b195d899fb6 · outbound

This paper cites Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Reference 24

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Observation 6ac4981c-c866-4743-8ce1-5739335690a3 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 25

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Observation adb17fd8-9111-43c3-93c6-be6d66330c31 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Encoder-decoder with atrous separable convolution for semantic image segmentation,

Reference 26

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This paper cites ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Reference 27

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This paper cites Erfnet: Eﬃcient residual factorized convnet for real-time semantic segmentation,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Erfnet: Eﬃcient residual factorized convnet for real-time semantic segmentation,

Reference 28

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This paper cites Eﬀective use of synthetic data for urban scene semantic segmentation,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Eﬀective use of synthetic data for urban scene semantic segmentation,

Reference 29

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Observation 9db29ea3-cf46-4f1a-9281-10a570db7fbe · outbound

This paper cites Semantic segmentation of panoramic images using a synthetic dataset,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Semantic segmentation of panoramic images using a synthetic dataset,

Reference 30

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Observation 5802a40e-7d2a-405c-a671-a76f521896c5 · outbound

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

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Learning from synthetic data: Addressing domain shift for semantic segmentation,

Reference 31

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Observation ababdbe8-6dc6-4ebd-aaec-f1df77bb636e · outbound

This paper cites Dark model adaptation: Semantic image segmentation from daytime to night- time,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Dark model adaptation: Semantic image segmentation from daytime to night- time,

Reference 32

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Observation 9d289906-7f6b-422b-a095-1b6cb11bff09 · outbound

This paper cites Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

Reference 33

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Observation 6366f898-42ad-42b9-a4c9-24ad3478cf34 · outbound

This paper cites Model adaptation with synthetic and real data for semantic dense foggy scene understanding,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Model adaptation with synthetic and real data for semantic dense foggy scene understanding,

Reference 34

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Observation 589fd80b-09f7-41c8-972f-98eda1b1e528 · outbound

This paper cites Curriculum model adaptation with synthetic and real data for semantic foggy scene understanding,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Curriculum model adaptation with synthetic and real data for semantic foggy scene understanding,

Reference 35

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Observation e2a2f81e-a602-49b7-b3f2-c7528827b54b · outbound

This paper cites I Can See Clearly Now : Image Restoration via De-Raining.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion I Can See Clearly Now : Image Restoration via De-Raining

Reference 36

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This paper cites Depth-attentional features for single-image rain removal,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Depth-attentional features for single-image rain removal,

Reference 37

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Observation 5546ed32-d3b1-45b7-8796-15420d666bb7 · outbound

This paper cites Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation

Reference 38

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Observation 5eec888b-6c78-4b9a-be4a-457f94913789 · outbound

This paper cites A cross-season correspondence dataset for robust semantic segmentation,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion A cross-season correspondence dataset for robust semantic segmentation,

Reference 39

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Observation 4b920841-ae41-4cbb-8e44-3696ecadfeb9 · outbound

This paper cites Visual localizer: Outdoor localization based on convnet descriptor and global optimization for visually impaired pedestrians,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Visual localizer: Outdoor localization based on convnet descriptor and global optimization for visually impaired pedestrians,

Reference 40

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This paper cites Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors

Reference 41

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Observation e841f90a-9c37-4e0c-b3bc-9b88fea5d7db · outbound

This paper cites Distilling the Knowledge in a Neural Network.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Distilling the Knowledge in a Neural Network

Reference 42

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Observation 1f254b11-43e1-46ca-88e6-3ad624d511db · outbound

This paper cites Cross modal distillation for supervision transfer,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Cross modal distillation for supervision transfer,

Reference 43

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Observation 237a8677-8b95-4b8e-b6ca-ff08db019875 · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Image-to-image translation with conditional adversarial networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:15.462375Z

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This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:15.453902Z

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Observation 44666db8-45b8-46e3-a416-ad9be7481710 · outbound

This paper cites Focal loss for dense object detection,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Focal loss for dense object detection,

Reference 46

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This paper cites Predicting polarization beyond se- mantics for wearable robotics,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Predicting polarization beyond se- mantics for wearable robotics,

Reference 47

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This paper cites Imagenet large scale visual recognition challenge,.

See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Imagenet large scale visual recognition challenge,

Reference 48

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