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Paper Citation Record · LEDGER

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision

As of 15 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 2 inbound Pith citation observations for arXiv:2502.10444.

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

pith.paper-citation-record.v1
2502.10444 v1

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:05:53.524314Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:35:43.540653Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:46:40.706675Z

Reference resolution

100 of 299 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7596587-3382-437b-8034-2556539d20d3 · outbound

This paper cites O’Connor.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision O’Connor

Reference 1

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Observation 291e385f-ccdf-4303-8af6-2244222c0090 · outbound

This paper cites Hrdfuse: Monocular 360 depth estimation by collab- orativelylearningholistic-with-regionaldepthdistributions.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Hrdfuse: Monocular 360 depth estimation by collab- orativelylearningholistic-with-regionaldepthdistributions

Reference 2

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Observation ebcda7b5-a942-4695-979e-1300735432b4 · outbound

This paper cites Lu, Chen Chen, Jiancang Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, and Lin Wang.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Lu, Chen Chen, Jiancang Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, and Lin Wang

Reference 3

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Observation 2d4c5d58-e771-4302-bcd6-59e0c228fd36 · outbound

This paper cites 360-degree image completion by two- stage conditional gans.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision 360-degree image completion by two- stage conditional gans

Reference 4

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Observation b7f00fb1-f3dd-4dad-9e48-e4b0f26df949 · outbound

This paper cites Diverse plausible 360-degree image outpainting for efficient 3dcg background creation.CVPR, 2022.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Diverse plausible 360-degree image outpainting for efficient 3dcg background creation.CVPR, 2022

Reference 5

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Observation dffa1998-734d-42ee-adcb-c9852f96ede8 · outbound

This paper cites Gkitsas, Vladimiros Sterzentsenko, et al.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Gkitsas, Vladimiros Sterzentsenko, et al

Reference 6

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Observation e849452a-22d4-4e4e-8793-815c8e1b694a · outbound

This paper cites Cubes3D: Neural Network based Optical Flow in Omnidirectional Image Scenes.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Cubes3D: Neural Network based Optical Flow in Omnidirectional Image Scenes

Reference 7

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Observation ab02fbc5-1e26-4b79-b7b0-21b8ac466f71 · outbound

This paper cites Joint 2d-3d-semantic data for indoor scene understanding.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Joint 2d-3d-semantic data for indoor scene understanding

Reference 8

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Observation 51c9d6a3-9c56-44d7-8df0-036c5bcb79cd · outbound

This paper cites Omniflownet: a perspective neural network adaptation for optical flow estimation in omnidirectional images.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Omniflownet: a perspective neural network adaptation for optical flow estimation in omnidirectional images

Reference 9

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Observation ec883056-f08b-404e-be01-6fa7585b69f5 · outbound

This paper cites Glpanodepth: Global-to-local panoramic depth estimation.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Glpanodepth: Global-to-local panoramic depth estimation

Reference 10

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Observation b2b1550a-5ba3-4d59-a40c-e36c014f7f27 · outbound

This paper cites Ma360: Multi-agent deep rein- forcement learning based live 360-degree video streaming on edge.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Ma360: Multi-agent deep rein- forcement learning based live 360-degree video streaming on edge

Reference 11

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Observation 069441bd-7a43-47cc-b4a5-57ac9520c449 · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Multidiffusion: Fusing diffusion paths for controlled image generation

Reference 12

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Observation 6fe65f2f-551d-442a-9e6b-0678d6b2cf46 · outbound

This paper cites On the use of deep learning for computational imaging.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision On the use of deep learning for computational imaging

Reference 13

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Observation 777990cb-5640-4783-a545-7b9e9690f71c · outbound

This paper cites To- wards autonomous driving: a multi-modal 360◦ perception proposal.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision To- wards autonomous driving: a multi-modal 360◦ perception proposal

Reference 14

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Observation a4e079d9-43b3-4d9d-b7cc-6f8e6f251d3b · outbound

This paper cites Scaled 360 layouts: Revisiting non-central panoramas.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Scaled 360 layouts: Revisiting non-central panoramas

Reference 15

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Observation a8309acf-7a0d-49c9-8e61-43aba12837db · outbound

This paper cites Atlanta scaled layouts from non-central panoramas.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Atlanta scaled layouts from non-central panoramas

Reference 16

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Observation 365164c5-f8da-439a-9d5d-415e4f8ab7d9 · outbound

This paper cites Learning omnidirectional flow in 360◦ video via siamese representation.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Learning omnidirectional flow in 360◦ video via siamese representation

Reference 17

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Observation 7f45949a-9c2a-4ddc-9b9a-63a77d190aaf · outbound

This paper cites Revisiting optical flow estimation in 360 videos.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Revisiting optical flow estimation in 360 videos

Reference 18

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Observation b7b1999d-f06d-4adc-8697-d618099b4d09 · outbound

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

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision nuscenes: A multi- modal dataset for autonomous driving

Reference 19

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Observation 71f744dd-c1c7-4a5f-9cb1-e5eb509e3a71 · outbound

This paper cites Field- of-view iou for object detection in 360° images.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Field- of-view iou for object detection in 360° images

Reference 20

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Observation 7caf2b79-c714-4e43-a5f1-3a1328afd684 · outbound

This paper cites Ntire 2023 challenge on 360° omnidirectional image and video super-resolution: Datasets, methods and results.CVPR Workshop, 2023.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Ntire 2023 challenge on 360° omnidirectional image and video super-resolution: Datasets, methods and results.CVPR Workshop, 2023

Reference 21

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Observation 3e18cffb-71f9-417d-a9e9-dfc044f8e411 · outbound

This paper cites Omnizoomer: Learning to move and zoom in on sphere at high-resolution.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Omnizoomer: Learning to move and zoom in on sphere at high-resolution

Reference 22

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Observation 72995053-477c-460e-8430-856b7744e544 · outbound

This paper cites Engel, and Daniel Cremers.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Engel, and Daniel Cremers

Reference 23

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Observation a399c09e-3dd3-4af7-9d36-bbf1a49d3a24 · outbound

This paper cites Blind quality assessment of omnidirectional videos using spatio-temporal convolutional neural networks.Optik, 2021.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Blind quality assessment of omnidirectional videos using spatio-temporal convolutional neural networks.Optik, 2021

Reference 24

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Observation a278ffbd-0de3-4945-a5c1-d5872a672d5a · outbound

This paper cites Matterport3d: Learning from rgb-d data in indoor environments.ArXiv, 2017.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Matterport3d: Learning from rgb-d data in indoor environments.ArXiv, 2017

Reference 25

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Observation 7c44cae2-4552-42d8-a656-757e9a02a262 · outbound

This paper cites Generating 360 outdoor panorama dataset with reliable sun position estimation.SIGGRAPH Asia 2018 Posters, 2018.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Generating 360 outdoor panorama dataset with reliable sun position estimation.SIGGRAPH Asia 2018 Posters, 2018

Reference 26

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Observation a42b3a78-586e-4e62-b792-045b6becd653 · outbound

This paper cites Depth estimation from indoor panoramas with neural scene repre- sentation.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Depth estimation from indoor panoramas with neural scene repre- sentation

Reference 27

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Observation 4d1c972c-64d0-464e-a965-aae7dc3891a5 · outbound

This paper cites Borgwardt.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Borgwardt

Reference 28

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Observation ae2a4c47-fc94-4840-a208-54d85decf43c · outbound

This paper cites Intra- and inter- reasoning graph convolutional network for saliency predic- tion on 360° images.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Intra- and inter- reasoning graph convolutional network for saliency predic- tion on 360° images

Reference 29

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Observation 2c448ab2-d1d1-4af7-99c4-bb0919a4722c · outbound

This paper cites Salbinet360: Saliency prediction on 360◦ images with local-global bifurcated deep network.IEEE VR, 2020.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Salbinet360: Saliency prediction on 360◦ images with local-global bifurcated deep network.IEEE VR, 2020

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Observation c27b4f59-fecc-48d6-9511-1db21d9cc547 · outbound

This paper cites Multi-stage salient object detection in 360° omnidirectional image using complementary object-level semantic information.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Multi-stage salient object detection in 360° omnidirectional image using complementary object-level semantic information

Reference 31

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Observation 8829e719-2453-4788-8205-abb3e07863d5 · outbound

This paper cites 360+ x: A panoptic multi- modal scene understanding dataset.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision 360+ x: A panoptic multi- modal scene understanding dataset

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Observation 5294ba22-4b9a-43d6-9899-359100f30ba2 · outbound

This paper cites Dif- fusiondet: Diffusion model for object detection.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Dif- fusiondet: Diffusion model for object detection

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Observation 424cf520-5f63-44b7-ad90-c122d3169d96 · outbound

This paper cites Spherical structural similarity index for objective omnidirectional video quality assessment.ICME, 2018.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Spherical structural similarity index for objective omnidirectional video quality assessment.ICME, 2018

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Observation 8c4816ce-0ea7-4e19-a122-026ab6207b46 · outbound

This paper cites Dynamic convolution: Attention over convolution kernels.CVPR, pages 11027– 11036, 2019.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Dynamic convolution: Attention over convolution kernels.CVPR, pages 11027– 11036, 2019

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Observation a344619e-2c83-4123-b59d-d1345100d399 · outbound

This paper cites A unified and biologically-plausible re- lational graph representation of vision transformers.IEEE TNNLS, 2022.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision A unified and biologically-plausible re- lational graph representation of vision transformers.IEEE TNNLS, 2022

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Observation b7ae3e0a-63ac-43b4-9b90-77f36f11416c · outbound

This paper cites Text2light: Zero-shot text-driven hdr panorama generation.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Text2light: Zero-shot text-driven hdr panorama generation

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source=pdf_text observed=2026-08-08T13:05:53.279573Z digest=sha256:34765553dc0088fc9eb3956c69bdda4ef161fb2cb4884f1d4f459e0c438c1a25

Observation d558b13b-fad2-4e3f-bc21-47a9dc9802ac · outbound

This paper cites Recent advances in omnidirectional video coding for virtual reality: Projection and evaluation.Signal Process., 2018.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Recent advances in omnidirectional video coding for virtual reality: Projection and evaluation.Signal Process., 2018

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Observation 9bcc4943-3224-4df1-9b33-96734cad1e1a · outbound

This paper cites Unsupervised omnimvs: Efficient omnidirectional depth inference via establishing pseudo-stereo supervision.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Unsupervised omnimvs: Efficient omnidirectional depth inference via establishing pseudo-stereo supervision

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Observation 0ba5ee34-4175-40b4-b437-5c9fcf23f66d · outbound

This paper cites Cube padding for weakly-supervised saliency prediction in 360 videos.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Cube padding for weakly-supervised saliency prediction in 360 videos

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source=pdf_text observed=2026-08-08T13:05:53.289889Z digest=sha256:ecab3e9f42fb3ccad57745c0865d42836b608a53af6f08cad3cf6e9e3cce6f18

Observation 24d799ba-f6e4-4499-a0ea-f74e864588e9 · outbound

This paper cites Sam- pling based spherical transformer for 360 degree image classification.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Sam- pling based spherical transformer for 360 degree image classification

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source=pdf_text observed=2026-08-08T13:05:53.293339Z digest=sha256:3ba4541337e76562bc9b17286f3cdc17c934c6e1ebefcae0a08eb7603ad965b1

Observation 14536c13-5584-48fd-9cd8-f1a966f64bfc · outbound

This paper cites 360-indoor: towards learn- ing real-world objects in 360deg indoor equirectangular images.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision 360-indoor: towards learn- ing real-world objects in 360deg indoor equirectangular images

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source=pdf_text observed=2026-08-08T13:05:53.297175Z digest=sha256:dd48f0c25ff7fed590ca97967a945796a731a167195242520af93fb4f1e21842

Observation b6750630-d0e2-4395-80dc-33dfecb5208c · outbound

This paper cites Gauge equivariant convolutional networks and the icosahedral cnn.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Gauge equivariant convolutional networks and the icosahedral cnn

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source=pdf_text observed=2026-08-08T13:05:53.300866Z digest=sha256:cea1c4125aa5f8537094c6f6e8ee36a8d0c14fdef72f64edee1feaa1e0c6e607

Observation 96be58f7-4ff1-4656-be3e-f25c03c62a5a · outbound

This paper cites Group equivariant convolu- tional networks.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Group equivariant convolu- tional networks

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source=pdf_text observed=2026-08-08T13:05:53.304873Z digest=sha256:753b520e29508bd64f63f0bd1d38b272477f4ab8583d1c1dd1ea6dd0af09c41e

Observation ba83437a-c9dd-4733-b438-411a49931c69 · outbound

This paper cites Spherenet:Learningsphericalrepresentations for detection and classification in omnidirectional images.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Spherenet:Learningsphericalrepresentations for detection and classification in omnidirectional images

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source=pdf_text observed=2026-08-08T13:05:53.308646Z digest=sha256:751f7a27f205619018f79c809e10635d78b9b7efc9e1472fc92795fd3c64874c

Observation 44acf6fd-b307-4eb2-84ab-57224315cdf5 · outbound

This paper cites Coughlan and Alan Loddon Yuille.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Coughlan and Alan Loddon Yuille

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source=pdf_text observed=2026-08-08T13:05:53.312075Z digest=sha256:8158723473e7348267af688cae1e5a276ac20ab3ddb60e4c638b0d9373e157ad

Observation 23a47053-529f-4661-ab99-ea1ea3ed37ad · outbound

This paper cites Zillow indoor dataset: Annotated floor plans with 360deg panoramas and 3d room layouts.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Zillow indoor dataset: Annotated floor plans with 360deg panoramas and 3d room layouts

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source=pdf_text observed=2026-08-08T13:05:53.315974Z digest=sha256:6432abb0e4065ecefb55d5586052f03657aca67114b8a6b32531365088029e77

Observation 6022e44f-4842-4cba-b2e5-1cbb6fa164df · outbound

This paper cites an unresolved cited work.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Unresolved cited work

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source=pdf_text observed=2026-08-08T13:05:53.319810Z digest=sha256:fb3b5751ba8b8e790c774d5489c5616416197108e3a0ec936d78dd9114202263

Observation fe58dadc-8726-4937-a008-0d2bdd7ed8f4 · outbound

This paper cites Dilated convolutional neural networks for panoramic image saliency prediction.ICASSP, 2020.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Dilated convolutional neural networks for panoramic image saliency prediction.ICASSP, 2020

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Observation 8c6547b3-b393-49aa-92fa-de69eb51969c · outbound

This paper cites Guided co-modulated gan for 360° field of view extrapolation.3DV, 2022.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Guided co-modulated gan for 360° field of view extrapolation.3DV, 2022

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source=pdf_text observed=2026-08-08T13:05:53.327978Z digest=sha256:2f52460b54a2ef85f3806b28fda10300e1eb07d8c0d5d9455c99ed8560403270

Observation 06eb41b8-1aaa-4665-b523-1bf9d64e1da3 · outbound

This paper cites Ev- erlight: Indoor-outdoor editable hdr lighting estimation.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Ev- erlight: Indoor-outdoor editable hdr lighting estimation

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source=pdf_text observed=2026-08-08T13:05:53.331970Z digest=sha256:bc37c55c22c6cb5077adf8335e3bb574b43e56c79fb7a4f85edf8f62d6c9009a

Observation a967e438-e66f-40a3-a573-2363374f2b2f · outbound

This paper cites A viewport-driven multi-metric fusion approach for 360- degree video quality assessment.ICME, 2020.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision A viewport-driven multi-metric fusion approach for 360- degree video quality assessment.ICME, 2020

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source=pdf_text observed=2026-08-08T13:05:53.335740Z digest=sha256:ff38167184c42ba0087db6d0f991fc23dd5ff0d940cae131402475dbf233cfcb

Observation bceee0d4-7407-4d3e-942e-dd9fa4487e9a · outbound

This paper cites Saliency prediction for omnidirectional images considering optimization on sphere domain.ICASSP, 2019.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Saliency prediction for omnidirectional images considering optimization on sphere domain.ICASSP, 2019

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source=pdf_text observed=2026-08-08T13:05:53.339801Z digest=sha256:e20114bef3ab87651f873cc1d349bbb75c356fc1f8767017626283572dc75bda

Observation cfd94bc5-b473-4583-8b5d-cbcc0ea4d75d · outbound

This paper cites Deepsphere: a graph-based spherical cnn.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Deepsphere: a graph-based spherical cnn

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source=pdf_text observed=2026-08-08T13:05:53.343573Z digest=sha256:554ed6ca1722ec4600cbcfb6ace4c482b9d998dc03b64619fc5d73ab9c8c2305

Observation ad86ece0-ff45-4115-b24b-09f8b904ec87 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision The mnist database of handwritten digit images for machine learning research

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source=pdf_text observed=2026-08-08T13:05:53.347407Z digest=sha256:344e8d8d7b10535e53c5c677cc49e70359ba54cc2274406ad49a629843bf3e51

Observation feade347-bd0e-4ab9-b810-68cd56404e08 · outbound

This paper cites Restricted deformable convolution- based road scene semantic segmentation using surround view cameras.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Restricted deformable convolution- based road scene semantic segmentation using surround view cameras

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source=pdf_text observed=2026-08-08T13:05:53.351176Z digest=sha256:1d2be8a7635f87f180203ba993462c501ddab664ed7032bf6056b0d718b0e667

Observation f9f301ac-79e2-4ef5-9cb9-eb49059755b0 · outbound

This paper cites Cnn based semantic segmentation for urban traffic scenes using fisheye camera.IV, 2017.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Cnn based semantic segmentation for urban traffic scenes using fisheye camera.IV, 2017

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source=pdf_text observed=2026-08-08T13:05:53.354729Z digest=sha256:ea2ebbce889535300bb17656b02442a8450b22f382b9816b5b6779b7e17a072f

Observation 9a594569-1ffe-4955-a661-f5c2cffc96fc · outbound

This paper cites Lau-net: Latitude adaptive upscaling network for omnidirectional imag super-resolution.CVPR, 2021.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Lau-net: Latitude adaptive upscaling network for omnidirectional imag super-resolution.CVPR, 2021

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source=pdf_text observed=2026-08-08T13:05:53.358627Z digest=sha256:fc6272a612002c29bd802f55292bdbb6e64ec0fe3a3cbfb7ef81afbedd4d6331

Observation 89482050-99ab-4448-9709-c995fd08b180 · outbound

This paper cites Extending 2d saliency models for head movement prediction in 360-degree images using cnn- based fusion.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Extending 2d saliency models for head movement prediction in 360-degree images using cnn- based fusion

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Observation 7cbc36b8-6cca-48ba-ab8f-14c580e390ed · outbound

This paper cites Panocontext-former: Panoramic total scene understanding with a transformer.ArXiv, 2023.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Panocontext-former: Panoramic total scene understanding with a transformer.ArXiv, 2023

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source=pdf_text observed=2026-08-08T13:05:53.365960Z digest=sha256:2b279435ffede8aaa195d7cae2e9cc63d6f927c83f7956da6c0ce6b287489852

Observation bea55e35-5e11-44d0-8be3-9640c41e6347 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.ICLR, 2020.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision An image is worth 16x16 words: Transformers for image recognition at scale.ICLR, 2020

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source=pdf_text observed=2026-08-08T13:05:53.369674Z digest=sha256:33f58e8d86dc8d0a379d5ed9d1bda42ae2627cc1c8c7af16c6a60e6365774834

Observation 579b09e0-c666-4ac3-b0ed-d5ea66d1c811 · outbound

This paper cites Perceptual quality assessment of omnidirectional images.ISCAS, 2018.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Perceptual quality assessment of omnidirectional images.ISCAS, 2018

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source=pdf_text observed=2026-08-08T13:05:53.373351Z digest=sha256:74a4a9c81be9c57fe95c76fc3aea4a95b122f6d6c3a678e74e2fbad1fa7201d3

Observation d6e424ff-0ef8-4c3a-b05c-a14115262856 · outbound

This paper cites Pano popups: Indoor 3d reconstruction with a plane-aware network.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Pano popups: Indoor 3d reconstruction with a plane-aware network

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source=pdf_text observed=2026-08-08T13:05:53.377127Z digest=sha256:1b78dfe5803258d2804f1b2a654156a8e14901ab32c6bcbe6f51e5c60ccb4970

Observation 40f0460f-17dd-4beb-8ea5-fbf2f9699705 · outbound

This paper cites Tangent images for mitigating spherical distortion.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Tangent images for mitigating spherical distortion

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source=pdf_text observed=2026-08-08T13:05:53.380734Z digest=sha256:7ecc82b2c1beac33ae591cb721740211bdafcfa5e27b7d0de43146983b5f7fe2

Observation 658943ff-7e48-4bca-a86d-93d571034e80 · outbound

This paper cites Engel, Thomas Schöps, and Daniel Cremers.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Engel, Thomas Schöps, and Daniel Cremers

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source=pdf_text observed=2026-08-08T13:05:53.385057Z digest=sha256:f3cbef62166749d99d5a8c0b7b5436a6449b5aac0ddcc584d0951ac63b7d2dcd

Observation 59f213eb-d7d7-4218-9e96-88deeb09ee5b · outbound

This paper cites Taming transformers for high-resolution image synthesis.CVPR, 2020.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Taming transformers for high-resolution image synthesis.CVPR, 2020

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source=pdf_text observed=2026-08-08T13:05:53.389092Z digest=sha256:647381a7ec0f9842ff3437ed485d449bb6ac42d6e83f0519f8e8afe2b1e3da3e

Observation 42a152d3-8d7f-47c3-b762-ebf7a2dcaab6 · outbound

This paper cites Deep depth estimation on 360 images with a double quaternion loss.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Deep depth estimation on 360 images with a double quaternion loss

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source=pdf_text observed=2026-08-08T13:05:53.392955Z digest=sha256:df0aa9c7615a0eac23d6b89d1dde1f53f945fc8e4e9ab820317e8291e9b4a147

Observation ff80728d-7d91-47a1-b4a5-71b026e3b5a5 · outbound

This paper cites 360 depth estimation in the wild-the depth360 dataset and the segfuse network.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision 360 depth estimation in the wild-the depth360 dataset and the segfuse network

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source=pdf_text observed=2026-08-08T13:05:53.397270Z digest=sha256:d54c666cda9606f76a62ffae1ec9bfa24bee559eff242dabd9dde0907ef1506c

Observation 3f6cb845-f05e-4810-9be0-a40f9423dfe0 · outbound

This paper cites Fácil, Alejandro Pérez- Yus, Cédric Demonceaux, Javier Civera, and Josechu J.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Fácil, Alejandro Pérez- Yus, Cédric Demonceaux, Javier Civera, and Josechu J

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Observation 9c88710d-5dba-4a67-aa7f-e5be8f6ba6cd · outbound

This paper cites Layouts from panoramic images with geometry and deep learning.RAL, 2018.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Layouts from panoramic images with geometry and deep learning.RAL, 2018

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Observation 8515eb28-008b-41fd-a91d-b41ec2ff51a7 · outbound

This paper cites Generating a full spherical view by modeling the relation between two fisheye images.The Visual Computer, pages 1–26, 2024.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Generating a full spherical view by modeling the relation between two fisheye images.The Visual Computer, pages 1–26, 2024

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source=pdf_text observed=2026-08-08T13:05:53.410966Z digest=sha256:0a2b45b0038693df462a7174e849c3df5843fba67ff905dde6d77d842d3a7bd7

Observation 676e87bc-b39d-48a5-a581-d244f9f4d818 · outbound

This paper cites Adaptive hypergraph convolutional network for no-reference 360-degree image quality assessment.ACM MM, 2021.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Adaptive hypergraph convolutional network for no-reference 360-degree image quality assessment.ACM MM, 2021

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source=pdf_text observed=2026-08-08T13:05:53.415226Z digest=sha256:92ccd51e343344f71604d878e69d9d1bebcf5861fdb15528d1d36ee0da5fc9ae

Observation 4d631b2b-cfa5-4e15-9afb-4b2bc930bcf3 · outbound

This paper cites Quality assessment for omnidirectional video: A spatio-temporal distortion modeling approach.TMM, 2022.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Quality assessment for omnidirectional video: A spatio-temporal distortion modeling approach.TMM, 2022

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Observation b29eec47-8f33-4979-8186-48fc013fa127 · outbound

This paper cites Review on panoramic imaging and its appli- cations in scene understanding.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Review on panoramic imaging and its appli- cations in scene understanding

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source=pdf_text observed=2026-08-08T13:05:53.422352Z digest=sha256:29067cce0772cbb52e6b4fcc3571afc9f5595f8e301801b188fd5ea30bb37a00

Observation 774a3d10-1012-4ac8-be59-63f314833527 · outbound

This paper cites Deep parametric indoor lighting estimation.ICCV, 2019.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Deep parametric indoor lighting estimation.ICCV, 2019

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Observation a8d758e4-c65e-4f1b-a82b-c193763b2aec · outbound

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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Learning to predict indoor illumination from a single image.TOG, 2017

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Observation 6ca85f34-5c07-483a-9e97-bd114b2253db · outbound

This paper cites Carr, and Jean-François Lalonde.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Carr, and Jean-François Lalonde

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source=pdf_text observed=2026-08-08T13:05:53.435437Z digest=sha256:c17240cc05755a8fdfe3810b90249ec6b54fe4560adc9b1df1d48fd174b3aef8

Observation 36e8e4e8-58a5-49c4-a5f9-a34bd4b88125 · outbound

This paper cites Generative adversarial nets.NIPS, 2014.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Generative adversarial nets.NIPS, 2014

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Observation 10b98e1a-6b44-4190-8620-a8ff72d2b323 · outbound

This paper cites Gorski, Eric Hivon, A.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Gorski, Eric Hivon, A

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Observation e65e96b3-a9ac-4a2f-ab79-c6b25b2a6ccc · outbound

This paper cites Zero-shot learning for reflection removal of single 360-degree image.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Zero-shot learning for reflection removal of single 360-degree image

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source=pdf_text observed=2026-08-08T13:05:53.447782Z digest=sha256:10a235053174fea93418d45b03c830bef9ebc21ac0d6f87d6f9ca92c441ad003

Observation 7bba81c5-66b8-4cd4-a116-f47e9072491b · outbound

This paper cites Piinet: A 360-degree panoramic image inpainting network using a cube map.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Piinet: A 360-degree panoramic image inpainting network using a cube map

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Observation 7c5bd1bd-7ed0-443d-aa0f-f7e3f0cd0ad9 · outbound

This paper cites Enhancement of novel view synthesis using omnidirectional image completion.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Enhancement of novel view synthesis using omnidirectional image completion

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source=pdf_text observed=2026-08-08T13:05:53.455420Z digest=sha256:a6b759cb3486662d12a3a7cdcbdcb01d348c0580d2ca4e4841fe3143e66c9884

Observation 564f0edd-8cc5-4083-ae8c-18fa35b6d241 · outbound

This paper cites Spherical image generation from a single image by consid- ering scene symmetry.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Spherical image generation from a single image by consid- ering scene symmetry

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source=pdf_text observed=2026-08-08T13:05:53.459073Z digest=sha256:e7d416b21f21d62f729fca40e08e19fe250a866c3adcbe0e109d093d34ac6630

Observation dfc5015e-9239-43a5-bd66-6a1e8213581d · outbound

This paper cites Zhang, Shaoqing Ren, and Jian Sun.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Zhang, Shaoqing Ren, and Jian Sun

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Observation a7956e20-73e9-411b-b9ab-51c32d6eaa6b · outbound

This paper cites Riecke, and Lillian Yang.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Riecke, and Lillian Yang

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source=pdf_text observed=2026-08-08T13:05:53.467246Z digest=sha256:8669bfa28a58dfca3d1231f3c8fb3ad8b8232b39c1259615740b557dd82161eb

Observation 90b2d4a1-2905-4853-9ddc-4d52cb4da588 · outbound

This paper cites Generative adversarial imitation learning.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Generative adversarial imitation learning

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source=pdf_text observed=2026-08-08T13:05:53.471227Z digest=sha256:39d0efba410b6ea7ec12ec5ab9c6c5124d361504d848bc1a16327d9ec0c74be1

Observation 4e78dab4-cd2f-4ed6-b7aa-f6b440454807 · outbound

This paper cites Deep sky modeling for single image outdoor lighting estimation.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Deep sky modeling for single image outdoor lighting estimation

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Observation 3d1b56f3-3751-4c9d-a524-3c6e5443df72 · outbound

This paper cites Deep outdoor illumination estimation.CVPR, 2017.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Deep outdoor illumination estimation.CVPR, 2017

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source=pdf_text observed=2026-08-08T13:05:53.478549Z digest=sha256:99820e600872c15f9d81292d155db66b5a048aeff4be13abef2febf9c2102eb5

Observation 438506af-0159-451a-bdbb-3ff981c40e7c · outbound

This paper cites Panoramic image reflection removal.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Panoramic image reflection removal

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Observation 6738ee93-d6c2-444a-aa53-3bd09e11b329 · outbound

This paper cites Par 2 net: End-to-end panoramic image reflection removal.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10):12192– 12205, 2023.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Par 2 net: End-to-end panoramic image reflection removal.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10):12192– 12205, 2023

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source=pdf_text observed=2026-08-08T13:05:53.486378Z digest=sha256:73773623cffaa51e8da29e3ce2f8e6fdd33300394e1d028ce70bc97e8756bed3

Observation 51555930-f4b1-46cb-bba4-f2fc8510affc · outbound

This paper cites Image quality metrics: Psnr vs.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Image quality metrics: Psnr vs

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Observation 1b8ccc13-e556-494c-b049-f15c14844da6 · outbound

This paper cites an unresolved cited work.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Unresolved cited work

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Observation 1d01cb07-5f82-405b-a0e8-4eb4747fd21b · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision LoRA: Low-rank adaptation of large language models

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Observation 6913bc69-004d-4ccd-8f60-7a645e68e525 · outbound

This paper cites Omnidirec- tional video quality assessment with causal intervention.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Omnidirec- tional video quality assessment with causal intervention

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Observation 5793260f-a6c2-4349-a381-ca1524eeb33c · outbound

This paper cites 360vo: Visual odometry using a single 360 camera.2022 International Conference on Robotics and Automation (ICRA), pages 5594–5600, 2022.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision 360vo: Visual odometry using a single 360 camera.2022 International Conference on Robotics and Automation (ICRA), pages 5594–5600, 2022

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Observation 9fea59bc-e59c-4465-af89-b7abad68e0a4 · outbound

This paper cites 360loc: A dataset and benchmark for omnidirectional visual localization with cross-device queries.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision 360loc: A dataset and benchmark for omnidirectional visual localization with cross-device queries

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Observation c62a65d0-1e9d-430d-bf29-ab9268a7cd25 · outbound

This paper cites Surround-view fisheye optics in computer vision and simulation: Survey and challenges.IEEE Transactions on Intelligent Transportation Systems, 2024.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Surround-view fisheye optics in computer vision and simulation: Survey and challenges.IEEE Transactions on Intelligent Transportation Systems, 2024

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Observation 892fb43c-25ef-4cf5-8d32-fad10858690b · outbound

This paper cites Panoramic panoptic segmentation: Towards complete sur- rounding understanding via unsupervised contrastive learn- ing.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Panoramic panoptic segmentation: Towards complete sur- rounding understanding via unsupervised contrastive learn- ing

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Observation 8c24c244-caf9-484e-9fe6-5126afdd29ea · outbound

This paper cites Panoramic panoptic segmentation: Insights into surround- ing parsing for mobile agents via unsupervised contrastive learning.

A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Panoramic panoptic segmentation: Insights into surround- ing parsing for mobile agents via unsupervised contrastive learning

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source=pdf_text observed=2026-08-08T13:05:53.520419Z digest=sha256:264395f5206a93dac32d1acbdba8a3364701e4826cc94d7b289eb272b6fddec2

Observation fc8e2fac-43a1-45b2-bc84-457e6aa64916 · outbound

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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Active perception for outdoor localisation with an omnidirectional camera.2020 IEEE/RSJ Inter- national Conference on Intelligent Robots and Systems (IROS), pages 4567–4574, 2020

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source=pdf_text observed=2026-08-08T13:05:53.524314Z digest=sha256:6875f5089f8965d2597a54431afea084b86cdc34d3e6f01634db35c4d25f6dd3

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Observation 64d754d0-8896-4367-af99-88402a3480ba · inbound

PriOr-Flow: Enhancing Primitive Panoramic Optical Flow with Orthogonal View cites this paper.

PriOr-Flow: Enhancing Primitive Panoramic Optical Flow with Orthogonal View A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision

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source=pdf_text observed=2026-08-06T21:35:43.540653Z digest=sha256:1c449b38a59673a5e87c762523bf025b0b1bbb897ea41ab5998fcaa80289cc98

Observation 6bc52420-93c5-4444-9a6a-115f2b9ff4e3 · inbound

Probing CLIP's Comprehension of 360-Degree Textual and Visual Semantics cites this paper.

Probing CLIP's Comprehension of 360-Degree Textual and Visual Semantics A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision

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arxiv_id, observed 2026-05-11T21:46:40.726462Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T04:25:58.275705Z digest=sha256:1162277e8b93edd4b17caceb3c42186bfe2c77b57525c33e9275fc0b0373d7d3