Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation | Paper Citation Record

Observation fa488bd9-54c0-4df4-aa46-b8e5e7d66bea · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation nuscenes: A multimodal dataset for autonomous driving,

Reference 1

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Observation 58286238-b816-4e80-8297-bd51b58a5d29 · outbound

This paper cites Vision meets robotics: The kitti dataset,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Vision meets robotics: The kitti dataset,

Reference 2

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This paper cites One thousand and one hours: Self-driving motion prediction dataset,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation One thousand and one hours: Self-driving motion prediction dataset,

Reference 3

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Observation 8c297edc-f7ce-4e29-963e-11298f105c57 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Scalability in perception for autonomous driving: Waymo open dataset,

Reference 4

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Observation 59429db7-e7e2-4660-a235-dd82406f7aeb · outbound

This paper cites Learning 3d semantic segmentation with only 2d image supervision,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Learning 3d semantic segmentation with only 2d image supervision,

Reference 5

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Observation c9969f16-e2e9-4508-8e91-7a6f598c6753 · outbound

This paper cites Image-to-lidar self-supervised distillation for autonomous driving data,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Image-to-lidar self-supervised distillation for autonomous driving data,

Reference 6

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Observation 17631d47-7162-4cd6-ae84-1476a30f5359 · outbound

This paper cites Complete & label: A domain adaptation approach to semantic segmentation of lidar point clouds,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Complete & label: A domain adaptation approach to semantic segmentation of lidar point clouds,

Reference 7

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Observation 9197fa95-24d5-4be9-b2d0-61a2082c7e31 · outbound

This paper cites Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining

Reference 8

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Observation 8ee9683a-1342-4ca1-b435-c8f7a26c2d78 · outbound

This paper cites The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation

Reference 9

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This paper cites Improving convolutional networks with self-calibrated convolutions,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Improving convolutional networks with self-calibrated convolutions,

Reference 10

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Observation 23cc2d4e-3e06-4104-a8d5-ade7460aa2de · outbound

This paper cites Cross-modality knowledge distillation network for monocular 3d object detection,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Cross-modality knowledge distillation network for monocular 3d object detection,

Reference 11

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Observation 0047e058-f309-4dd2-8b26-7d3af2400085 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation U-net: Convolutional networks for biomedical image segmentation,

Reference 12

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Observation f6a49b44-85f5-4493-adc1-e84c9276013c · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 13

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Observation dca89ee6-7281-42b7-948f-7220f0af7f5f · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 14

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Observation 81c33b7f-4649-4575-9261-f116896e65dd · outbound

This paper cites Deep parametric continuous convolutional neural networks,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Deep parametric continuous convolutional neural networks,

Reference 15

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Observation 1d3e7ed7-6cf0-4215-9650-ae0be6919603 · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Kpconv: Flexible and deformable convolution for point clouds,

Reference 16

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Observation 52881a29-ccda-4765-87b4-446aa819ced7 · outbound

This paper cites Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,

Reference 17

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Observation 33f5306e-f762-4d34-b800-7da3b63c2add · outbound

This paper cites Squeezesegv2: Im- proved model structure and unsupervised domain adaptation for road- object segmentation from a lidar point cloud,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Squeezesegv2: Im- proved model structure and unsupervised domain adaptation for road- object segmentation from a lidar point cloud,

Reference 18

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Observation bb9c8311-e82d-4ebf-8e40-0ef6b428f3ad · outbound

This paper cites Squeezesegv3: Spatially-adaptive convolution for ef- ficient point-cloud segmentation,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Squeezesegv3: Spatially-adaptive convolution for ef- ficient point-cloud segmentation,

Reference 19

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Observation 5ed32059-591f-4aad-9ca1-d32e58059671 · outbound

This paper cites Rangenet++: Fast and accurate lidar semantic segmentation,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Rangenet++: Fast and accurate lidar semantic segmentation,

Reference 20

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Observation b283d5a0-63ba-412f-9a3a-9059fe08be8d · outbound

This paper cites Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds,

Reference 21

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Observation 5a42ef95-b93b-42ec-b717-4438db8c3535 · outbound

This paper cites an unresolved cited work.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Unresolved cited work

Reference 22

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Observation 96f885c5-1e0e-49e8-98c4-dc796d7045db · outbound

This paper cites Polarnet: An improved grid representation for online lidar point clouds semantic segmentation,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Polarnet: An improved grid representation for online lidar point clouds semantic segmentation,

Reference 23

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Observation f0504e47-0569-4c20-a573-ae65e94e9636 · outbound

This paper cites Panoptic-polarnet: Proposal- free lidar point cloud panoptic segmentation,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Panoptic-polarnet: Proposal- free lidar point cloud panoptic segmentation,

Reference 24

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Observation e971a2a1-16e8-4989-a416-a78e1ced8468 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation 4d spatio-temporal convnets: Minkowski convolutional neural networks,

Reference 25

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Observation b0b58ba1-1d6f-4aef-9be3-c36ee67e357c · outbound

This paper cites Pointcon- trast: Unsupervised pre-training for 3d point cloud understanding,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Pointcon- trast: Unsupervised pre-training for 3d point cloud understanding,

Reference 26

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Observation 3b76d7c1-fe42-4e4b-9d3e-97222a347845 · outbound

This paper cites Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,

Reference 27

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Observation acf18e67-8612-44db-a43c-c3ddda6f0e99 · outbound

This paper cites (af)2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation (af)2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network,

Reference 28

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Observation 77aaa581-26d4-4581-bd58-8a3aed79b946 · outbound

This paper cites Search- ing efficient 3d architectures with sparse point-voxel convolution,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Search- ing efficient 3d architectures with sparse point-voxel convolution,

Reference 29

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Observation 6de453be-2f98-45d6-a5b6-5bbfbfdac491 · outbound

This paper cites Svqnet: Sparse voxel-adjacent query network for 4d spatio-temporal lidar se- mantic segmentation,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Svqnet: Sparse voxel-adjacent query network for 4d spatio-temporal lidar se- mantic segmentation,

Reference 30

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Observation 279550f0-4e35-41c6-82bd-3a1e77d4ce0b · outbound

This paper cites Cross modal distillation for supervision transfer,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Cross modal distillation for supervision transfer,

Reference 31

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Observation 710239e9-460a-472f-a287-d45a4ab933c4 · outbound

This paper cites Improving unimodal object recognition with multimodal contrastive learning,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Improving unimodal object recognition with multimodal contrastive learning,

Reference 32

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Observation f7a7e531-8fe9-4384-b780-8c5eba09b379 · outbound

This paper cites Learning 3d representations from 2d pre-trained models via image-to-point masked autoencoders,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Learning 3d representations from 2d pre-trained models via image-to-point masked autoencoders,

Reference 33

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Observation 0322ea4e-3088-473c-9b98-998362bd4073 · outbound

This paper cites Weakly supervised 3d multi-person pose estimation for large-scale scenes based on monocular camera and single lidar,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Weakly supervised 3d multi-person pose estimation for large-scale scenes based on monocular camera and single lidar,

Reference 34

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Observation fec9de79-b4f7-4078-9609-69bc1d817933 · outbound

This paper cites xmuda: Cross-modal unsupervised domain adaptation for 3d semantic seg- mentation,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation xmuda: Cross-modal unsupervised domain adaptation for 3d semantic seg- mentation,

Reference 35

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Observation 0d04e4fb-961a-4e05-8854-95c7a270d7a8 · outbound

This paper cites Cross- modal learning for domain adaptation in 3d semantic segmentation,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Cross- modal learning for domain adaptation in 3d semantic segmentation,

Reference 36

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Observation 75bcb8a1-e4db-4476-a119-6a1cafbcabc5 · outbound

This paper cites Openscene: 3d scene understanding with open vocabularies,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Openscene: 3d scene understanding with open vocabularies,

Reference 37

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Observation b120912f-d77c-49d6-b80b-dbac4cf9cb2e · outbound

This paper cites Slic superpixels compared to state-of-the-art superpixel methods,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Slic superpixels compared to state-of-the-art superpixel methods,

Reference 38

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Observation 57baedd9-4bd9-41a0-8171-8ef96891c62b · outbound

This paper cites Image2point: 3d point-cloud understanding with 2d image pretrained models,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Image2point: 3d point-cloud understanding with 2d image pretrained models,

Reference 39

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Observation 6bdffb90-c123-407d-942e-f1b8974f70fa · outbound

This paper cites On the Role of Neural Collapse in Transfer Learning.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation On the Role of Neural Collapse in Transfer Learning

Reference 40

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Observation c03154bc-4602-4d48-a3ce-55de632310c4 · outbound

This paper cites Tri-perspective view for vision-based 3d semantic occupancy prediction,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Tri-perspective view for vision-based 3d semantic occupancy prediction,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:04.942607Z

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Observation 62d4e6b5-e18c-4b6f-8cc2-92c4758987cc · outbound

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

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Segnet: A deep convolutional encoder-decoder architecture for image segmentation,

Reference 42

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Observation 74fe9961-6ed2-414b-bc25-ca07770f13b0 · outbound

This paper cites Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:04.664782Z

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Observation 06611fa0-d37a-424e-8e07-eed8101e86c9 · outbound

This paper cites Rgb and lidar fusion based 3d semantic segmentation for autonomous driving,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Rgb and lidar fusion based 3d semantic segmentation for autonomous driving,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:04.417756Z

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Observation 0df97a98-f614-4b91-ae88-243d5c791dab · outbound

This paper cites Sensor fusion for joint 3d object detection and semantic segmentation,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Sensor fusion for joint 3d object detection and semantic segmentation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:04.175568Z

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Observation b6a4314b-ea3d-4e3d-99e8-f96d94e427a3 · outbound

This paper cites Pointpainting: Sequential fusion for 3d object detection,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Pointpainting: Sequential fusion for 3d object detection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:03.905525Z

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Observation b7ce6a7a-aaa4-42a4-8495-f2f57ce790cf · outbound

This paper cites Fuseseg: Lidar point cloud segmentation fusing multi-modal data,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Fuseseg: Lidar point cloud segmentation fusing multi-modal data,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:03.683016Z

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Observation 0b24e0c4-e11a-42cd-b32d-7eea43ddcd3b · outbound

This paper cites Multiscale deep learning network with self-calibrated convolution for hyperspectral and lidar data collaborative classification,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Multiscale deep learning network with self-calibrated convolution for hyperspectral and lidar data collaborative classification,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:03.400798Z

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Observation a6649d00-1abd-43b5-b1a6-a9019f781836 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Representation Learning with Contrastive Predictive Coding

Reference 49

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Observation aa0e0d9f-6e95-4b76-a217-9bbcf4be1e53 · outbound

This paper cites Semantickitti: A dataset for semantic scene un- derstanding of lidar sequences,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Semantickitti: A dataset for semantic scene un- derstanding of lidar sequences,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:03.163503Z

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Observation 6dae685c-c8a9-4c11-bd41-5662a3d20592 · outbound

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

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Imagenet: A large-scale hierarchical image database,

Reference 51

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This paper cites Improved Baselines with Momentum Contrastive Learning.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Improved Baselines with Momentum Contrastive Learning

Reference 52

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This paper cites Learning multiple layers of features from tiny images,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Learning multiple layers of features from tiny images,

Reference 53

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This paper cites 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,

Reference 54

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This paper cites Dense 3d semantic mapping of indoor scenes from rgb-d images,.

Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation Dense 3d semantic mapping of indoor scenes from rgb-d images,

Reference 55

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