Paper Citation Record · LEDGER

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation

As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.06127.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.06127 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:03:57.079111Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b31fb839-8b55-49cf-baac-0eb8acc569a5 · outbound

This paper cites Rs-aug: Improve 3d object de- tection on lidar with realistic simulator based data augmen- tation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Rs-aug: Improve 3d object de- tection on lidar with realistic simulator based data augmen- tation

Reference 1

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Observation 769864d0-f606-4cab-86be-0c99e084ace2 · outbound

This paper cites HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation

Reference 2

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Observation 9bae1155-9766-4286-b717-978e0cb72bfc · outbound

This paper cites X-align: Cross-modal cross-view alignment for bird’s-eye-view segmentation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation X-align: Cross-modal cross-view alignment for bird’s-eye-view segmentation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.778912Z

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Observation 7118a4da-3c9d-48e2-8821-8b13aa550037 · outbound

This paper cites Panoptic, instance and semantic relations: A relational context encoder to enhance panoptic segmentation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Panoptic, instance and semantic relations: A relational context encoder to enhance panoptic segmentation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.763234Z

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Observation aad0af2e-e3b3-4638-8441-7bff577669e8 · outbound

This paper cites Inverseform: A loss function for structured boundary-aware segmentation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Inverseform: A loss function for structured boundary-aware segmentation

Reference 5

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Observation b8f03a71-7597-4982-9c05-ec976b556b2d · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation nuscenes: A multi- modal dataset for autonomous driving

Reference 6

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Observation 3f0369cc-51e1-4306-b616-26ca6d303e0f · outbound

This paper cites Residual graph convolutional network for bird’s-eye-view semantic segmentation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Residual graph convolutional network for bird’s-eye-view semantic segmentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.711698Z

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Observation 6e6dacda-6083-4193-9364-98a7d0afe7fd · outbound

This paper cites Bevseg: Geometry and data-driven based multi-view segmentation in bird’s-eye-view.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Bevseg: Geometry and data-driven based multi-view segmentation in bird’s-eye-view

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.695454Z

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Observation 4b0e5e96-de8b-47bf-b236-7bda0448b962 · outbound

This paper cites Monocular vehicle 3d bounding box estimation using homograhy and geome- try in traffic scene.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Monocular vehicle 3d bounding box estimation using homograhy and geome- try in traffic scene

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.680465Z

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Observation f7dad430-9318-48b4-bb0b-d70611972325 · outbound

This paper cites Neat: Neural attention fields for end-to-end autonomous driving.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Neat: Neural attention fields for end-to-end autonomous driving

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.665436Z

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Observation 8ac749fe-8806-4c9f-a20e-99ba9e109f46 · outbound

This paper cites Real-time high-performance semantic image segmentation of urban street scenes.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Real-time high-performance semantic image segmentation of urban street scenes

Reference 11

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Observation f98f533a-20e6-4cc2-a390-90dd0dd2db88 · outbound

This paper cites Tbp-former: Learning temporal bird’s-eye-view pyramid for joint perception and prediction in vision-centric autonomous driving.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Tbp-former: Learning temporal bird’s-eye-view pyramid for joint perception and prediction in vision-centric autonomous driving

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.636806Z

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Observation c6e46d9a-0ce3-4cb2-9714-745923a99823 · outbound

This paper cites 3d-lanenet: end-to-end 3d multiple lane detection.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation 3d-lanenet: end-to-end 3d multiple lane detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.620826Z

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Observation bece52d9-4bba-43eb-a548-f5b8a8ada91f · outbound

This paper cites Metabev: Solving sensor failures for 3d detection and map segmentation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Metabev: Solving sensor failures for 3d detection and map segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.603650Z

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Observation c722f111-2ee1-4ed6-8998-d716cd5fb853 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.587166Z

Source-reported events for the cited work

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Observation 6be18a2b-45e7-44aa-bf77-fdfc2c715f41 · outbound

This paper cites Frequency-enhanced data augmentation for vision-and-language navigation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Frequency-enhanced data augmentation for vision-and-language navigation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.571370Z

Source-reported events for the cited work

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Observation 4cbfc8ad-35ad-4854-b3d1-8c4fdfc38e70 · outbound

This paper cites Fiery: Future instance prediction in bird’s- eye view from surround monocular cameras.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Fiery: Future instance prediction in bird’s- eye view from surround monocular cameras

Reference 17

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Observation 0bae0d53-1598-4343-8d5e-9c516e105ab9 · outbound

This paper cites Learning im- plicit feature alignment function for semantic segmentation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Learning im- plicit feature alignment function for semantic segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.540826Z

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Observation 722b4064-aac9-4e37-987d-1699dbacb658 · outbound

This paper cites Pattern-aware data augmentation for lidar 3d object detection.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Pattern-aware data augmentation for lidar 3d object detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.524463Z

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Observation a8b4f718-4a98-43d4-ae56-79169e1e72ff · outbound

This paper cites Planning-oriented autonomous driving.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Planning-oriented autonomous driving

Reference 20

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Observation 4df96b6b-f1d0-493e-984f-2db2d9ea8b70 · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 21

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Observation 78d17778-e052-4e6f-bb9c-d29ecf29970d · outbound

This paper cites Data augmen- tation techniques in time series domain: a survey and tax- onomy.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Data augmen- tation techniques in time series domain: a survey and tax- onomy

Reference 22

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Observation 2a34dfd0-cbf0-4b92-9919-4bcccaaec7eb · outbound

This paper cites Ddp: Diffusion model for dense visual prediction.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Ddp: Diffusion model for dense visual prediction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.483288Z

Source-reported events for the cited work

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Observation ab0f8af2-f740-41cb-8eb9-a52c550a55d7 · outbound

This paper cites En- hancing monocular 3d object detection through data aug- mentation strategies.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation En- hancing monocular 3d object detection through data aug- mentation strategies

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.467032Z

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Observation 8082619b-d766-4481-bae3-4b68bd11d1eb · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion

Reference 25

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Observation 0c66e781-8f59-4873-9f7c-da60a2c713ab · outbound

This paper cites BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

Reference 26

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Observation 536de5d9-ed87-433b-8ec3-cc1b2d162d48 · outbound

This paper cites Timesurl: Self-supervised contrastive learning for universal time series representation learning.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Timesurl: Self-supervised contrastive learning for universal time series representation learning

Reference 27

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Observation c1e0b905-24f3-418f-9327-248984cab4c2 · outbound

This paper cites Bird’s-eye-view scene graph for vision-language navigation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Bird’s-eye-view scene graph for vision-language navigation

Reference 28

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Observation 58f18aeb-5a1e-4703-ad60-a95fd579d423 · outbound

This paper cites Learning auxil- iary monocular contexts helps monocular 3d object detec- tion.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Learning auxil- iary monocular contexts helps monocular 3d object detec- tion

Reference 29

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Observation ab931f41-5051-4fe7-b448-eb8d79d8ca6f · outbound

This paper cites Petrv2: A unified framework for 3d perception from multi-camera images.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Petrv2: A unified framework for 3d perception from multi-camera images

Reference 30

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Observation 41d4cdf9-37f9-4bc6-8502-3d44daa53946 · outbound

This paper cites Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation

Reference 31

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Observation d9e9f33d-f12c-4c4e-a2d9-ebe95a75e650 · outbound

This paper cites Decoupled Weight Decay Regularization.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Decoupled Weight Decay Regularization

Reference 32

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Observation f7b0ef2a-1053-4a67-a975-312d89fc9173 · outbound

This paper cites Driving among flatmobiles: Bird-eye-view occu- pancy grids from a monocular camera for holistic trajectory planning.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Driving among flatmobiles: Bird-eye-view occu- pancy grids from a monocular camera for holistic trajectory planning

Reference 33

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Observation ba210297-b1ba-46a3-ac4c-0282a160da56 · outbound

This paper cites Lift, splat, shoot: Encod- ing images from arbitrary camera rigs by implicitly unpro- jecting to 3d.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Lift, splat, shoot: Encod- ing images from arbitrary camera rigs by implicitly unpro- jecting to 3d

Reference 34

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Observation e4b2fec8-825a-4f42-a8ad-894d739ddab1 · outbound

This paper cites Orthographic Feature Transform for Monocular 3D Object Detection.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Orthographic Feature Transform for Monocular 3D Object Detection

Reference 35

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Observation a8ec6e49-6232-4b9f-8736-e223379ab562 · outbound

This paper cites Cyclical learning rates for training neural networks.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Cyclical learning rates for training neural networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.327572Z

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Observation 8bf0fbda-1be9-4ca5-86f0-782cc915a31c · outbound

This paper cites Mo- tionnet: Joint perception and motion prediction for au- tonomous driving based on bird’s eye view maps.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Mo- tionnet: Joint perception and motion prediction for au- tonomous driving based on bird’s eye view maps

Reference 37

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Source-reported events for the cited work

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Observation 9ac3e0b9-0e74-4c04-ba5f-41f1b1b656a7 · outbound

This paper cites M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 38

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Source-reported events for the cited work

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Observation e139748a-70a0-4164-946d-fb6fc8a5bae9 · outbound

This paper cites Auxadapt: Stable and efficient test-time adaptation for temporally consistent video semantic segmentation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Auxadapt: Stable and efficient test-time adaptation for temporally consistent video semantic segmentation

Reference 39

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Source-reported events for the cited work

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Observation 9408124c-3c7d-46aa-960b-7ee421efe79a · outbound

This paper cites Perceptual consistency in video segmentation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Perceptual consistency in video segmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.289387Z

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Observation 46a9a74a-70e8-4333-8923-38691b2ad4e2 · outbound

This paper cites BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

Reference 41

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Source-reported events for the cited work

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Observation 136ecb44-0270-4737-987a-2e42a6ce1dc9 · outbound

This paper cites Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction

Reference 42

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Source-reported events for the cited work

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Observation 3020d539-7d8f-4d9f-ad51-40bccd100796 · outbound

This paper cites Cross-view transform- ers for real-time map-view semantic segmentation.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Cross-view transform- ers for real-time map-view semantic segmentation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.273072Z

Source-reported events for the cited work

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Observation f1b2d6ef-b966-4651-93b0-e2ae14d1833d · outbound

This paper cites Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 44

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Source-reported events for the cited work

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Observation 845155cd-c580-4f83-86ab-15909dd108ed · outbound

This paper cites Monocular 3d vehicle de- tection using uncalibrated traffic cameras through homogra- phy.

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation Monocular 3d vehicle de- tection using uncalibrated traffic cameras through homogra- phy

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:03:57.258773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.