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Paper Citation Record · LEDGER

SalFormer360: a transformer-based saliency estimation model for 360-degree videos

As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2602.04584.

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2602.04584 v2

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measured 55 of 55 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T04:35:20.884050Z

measured 55 of 55 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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55 of 55 outbound references displayed

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Outbound references

Observation bb0f5b5e-4f6f-4e55-8772-0ad16d1a0a4e · outbound

This paper cites F.743-10 - Requirements for mobile edge computing-enabled content delivery networks,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos F.743-10 - Requirements for mobile edge computing-enabled content delivery networks,

Reference 1

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Observation 3929e1ae-51f6-44f2-b224-5c9799a0dbb6 · outbound

This paper cites A feature-based approach for saliency estimation of omni-directional images,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos A feature-based approach for saliency estimation of omni-directional images,

Reference 2

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Observation 6c2ca10f-1e06-44b4-8cfa-7b75f44a090e · outbound

This paper cites Applying Transformer-Based Computer Vision Models to Adaptive Bitrate Allocation for 360° Live Streaming,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Applying Transformer-Based Computer Vision Models to Adaptive Bitrate Allocation for 360° Live Streaming,

Reference 3

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Observation 73794244-0690-4b64-82a7-7976e57418dc · outbound

This paper cites Enhancing 360 video streaming through salient content in head-mounted displays,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Enhancing 360 video streaming through salient content in head-mounted displays,

Reference 4

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Observation 754e2878-1b21-471a-a374-0ec04218e491 · outbound

This paper cites Track: A new method from a re-examination of deep architectures for head motion prediction in 360° videos,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Track: A new method from a re-examination of deep architectures for head motion prediction in 360° videos,

Reference 5

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Observation 3e574545-6f44-42f3-8a69-2f8b542cb216 · outbound

This paper cites Optimizing fixation prediction using recurrent neural networks for 360 ◦ video streaming in head-mounted virtual reality,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Optimizing fixation prediction using recurrent neural networks for 360 ◦ video streaming in head-mounted virtual reality,

Reference 6

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Observation 2901f3c9-58e2-4024-8b21-2c386067c159 · outbound

This paper cites Spherical convolution-based saliency detection for fov prediction in 360-degree video streaming,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Spherical convolution-based saliency detection for fov prediction in 360-degree video streaming,

Reference 7

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Observation 6cb41d50-b665-48cb-96d5-dafe99980160 · outbound

This paper cites CoLive: An Edge-Assisted Online Learning Framework for Viewport Prediction in 360°Live Streaming,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos CoLive: An Edge-Assisted Online Learning Framework for Viewport Prediction in 360°Live Streaming,

Reference 8

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Observation 502db258-3591-4fef-9d87-741dda61239c · outbound

This paper cites MADRL-Based Rate Adaptation for 360°Video Streaming With Multiviewpoint Prediction,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos MADRL-Based Rate Adaptation for 360°Video Streaming With Multiviewpoint Prediction,

Reference 9

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Observation 4bc907a1-2b27-49aa-a987-88a1ee7805ab · outbound

This paper cites Towards attention- aware interactive 360-degree video streaming on smartphones,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Towards attention- aware interactive 360-degree video streaming on smartphones,

Reference 10

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Observation 451051f3-0e5a-43d7-ba44-fcb102966150 · outbound

This paper cites Viewport prediction, bitrate selection, and beamforming design for thz-enabled 360°video streaming,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Viewport prediction, bitrate selection, and beamforming design for thz-enabled 360°video streaming,

Reference 11

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Observation 6d264bf6-8e43-4455-88c6-7e61112ce49c · outbound

This paper cites SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Reference 12

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Observation dd13299c-d75d-419d-bc4b-3698437d0dcd · outbound

This paper cites Predicting head movement in panoramic video: A deep reinforcement learning approach,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Predicting head movement in panoramic video: A deep reinforcement learning approach,

Reference 13

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Observation 29998be4-3316-4c17-94f2-2cf52786f512 · outbound

This paper cites Gaze Prediction in Dynamic 360° Immersive Videos,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Gaze Prediction in Dynamic 360° Immersive Videos,

Reference 14

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Observation ecb49d93-f471-442c-845e-945fcef1073f · outbound

This paper cites Saliency Detection in 360° Videos,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Saliency Detection in 360° Videos,

Reference 15

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Observation ee70f3f1-f897-4ff3-b158-f6b5112d26e4 · outbound

This paper cites TranSalNet: Towards perceptually relevant visual saliency prediction,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos TranSalNet: Towards perceptually relevant visual saliency prediction,

Reference 16

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Observation 4ba14048-b278-4e81-ac4b-8ad5d0e6353f · outbound

This paper cites TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection

Reference 17

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Observation 6efa35b2-f67a-49f4-8d55-7aaab264701c · outbound

This paper cites Spatio-temporal self-attention network for video saliency prediction,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Spatio-temporal self-attention network for video saliency prediction,

Reference 18

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Observation 746d36c7-34d1-4ec7-be80-1172459f9fa3 · outbound

This paper cites Revisiting video saliency prediction in the deep learning era,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Revisiting video saliency prediction in the deep learning era,

Reference 19

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Observation 2bfa16e9-e3bb-4ce0-a155-0f65c03bd0ac · outbound

This paper cites Salsac: A video saliency pre- diction model with shuffled attentions and correlation-based convlstm,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Salsac: A video saliency pre- diction model with shuffled attentions and correlation-based convlstm,

Reference 20

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Observation 97483ad7-9abe-4cc6-803f-bb12fa238b8a · outbound

This paper cites Droste, J.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Droste, J

Reference 21

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Observation 2682b814-9876-4a26-95a3-c34e21e86642 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 22

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Observation 0e1a7208-8c66-4329-a34b-1b41666c42fe · outbound

This paper cites An Ablation Study on 360-Degree Saliency Estimation,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos An Ablation Study on 360-Degree Saliency Estimation,

Reference 23

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Observation cd5b96ef-4250-4913-a2f0-1c9d450b6327 · outbound

This paper cites Your Attention is Unique: De- tecting 360-Degree Video Saliency in Head-Mounted Display for Head Movement Prediction,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Your Attention is Unique: De- tecting 360-Degree Video Saliency in Head-Mounted Display for Head Movement Prediction,

Reference 24

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Observation 9b9eedb2-4767-49a1-8a97-3b672b8f14f9 · outbound

This paper cites Track: a Multi-Modal Deep Architecture for Head Motion Prediction in 360°Videos,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Track: a Multi-Modal Deep Architecture for Head Motion Prediction in 360°Videos,

Reference 25

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Observation eb5a04f5-4644-4922-849d-a9f9503a3ca3 · outbound

This paper cites Viewport prediction with cross modal multiscale transformer for 360°video streaming,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Viewport prediction with cross modal multiscale transformer for 360°video streaming,

Reference 26

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Observation 6c9f4ee8-d72e-4f9c-9321-f9bcbd6fa2ab · outbound

This paper cites Salgan360: Visual saliency prediction on 360 degree images with generative adver- sarial networks,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Salgan360: Visual saliency prediction on 360 degree images with generative adver- sarial networks,

Reference 27

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Observation f025aa59-b996-4f2f-a930-623d5e29dbe1 · outbound

This paper cites SalGAN: Visual Saliency Prediction with Generative Adversarial Networks.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 28

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Observation 5120b90a-acbf-4e64-b874-ff63693befad · outbound

This paper cites Generative Adversarial Networks.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Generative Adversarial Networks

Reference 29

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Observation 1059caa2-818c-4e18-a20c-3ea173fd3fe5 · outbound

This paper cites Panoramic convolutions for360 ◦ single-image saliency prediction,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Panoramic convolutions for360 ◦ single-image saliency prediction,

Reference 30

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Observation 74a48ec8-2348-4e4f-be03-749595041895 · outbound

This paper cites Spherenet: Learning spher- ical representations for detection and classification in omnidirectional images,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Spherenet: Learning spher- ical representations for detection and classification in omnidirectional images,

Reference 31

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Observation 40685c56-f3b9-46e8-b232-4e4344294813 · outbound

This paper cites Sphere-GAN: a GAN-based Approach for Saliency Estimation in 360°Videos,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Sphere-GAN: a GAN-based Approach for Saliency Estimation in 360°Videos,

Reference 32

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Observation a6ba9b4d-07d6-4361-b5b1-c4baca2acd52 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 33

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Observation 28ffcee9-58f2-49b3-af10-eed561aabc44 · outbound

This paper cites Cube Padding for Weakly-Supervised Saliency Prediction in 360{\deg} Videos.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Cube Padding for Weakly-Supervised Saliency Prediction in 360{\deg} Videos

Reference 34

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Observation 5eb9d6f5-799c-4bcc-be50-9390c7778aa4 · outbound

This paper cites Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Reference 35

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Observation 6d56e79c-c194-40e7-8da4-3e2856863fe6 · outbound

This paper cites Saliency detection in 360°videos,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Saliency detection in 360°videos,

Reference 36

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Observation e889177a-40d2-4897-8fc5-305f8fddf0c1 · outbound

This paper cites Viewing bias matters in 360° videos visual saliency prediction,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Viewing bias matters in 360° videos visual saliency prediction,

Reference 37

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Observation 1971f934-4d99-4aeb-a7b4-2df4c0027e6c · outbound

This paper cites Atsal: An attention based architecture for saliency prediction in 360 videos,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Atsal: An attention based architecture for saliency prediction in 360 videos,

Reference 38

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Observation f5658258-e397-4859-84be-0025876a8ac3 · outbound

This paper cites Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV Feedback.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV Feedback

Reference 39

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Observation be61d621-ccc4-4bb7-b815-9e51be71fc1f · outbound

This paper cites Predicting 360° video saliency: A convlstm encoder-decoder network with spatio- temporal consistency,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Predicting 360° video saliency: A convlstm encoder-decoder network with spatio- temporal consistency,

Reference 40

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Observation 74bcf3dd-bee7-469c-bd01-cb1e4b42f423 · outbound

This paper cites Svgc-ava: 360-degree video saliency prediction with spherical vector-based graph convolution and audio-visual attention,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Svgc-ava: 360-degree video saliency prediction with spherical vector-based graph convolution and audio-visual attention,

Reference 41

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Observation 64609bb2-fb09-4e65-aef9-f44b3b396a75 · outbound

This paper cites Saliency prediction network for360 ◦ videos,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Saliency prediction network for360 ◦ videos,

Reference 42

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Observation ce0482b4-7416-4261-9043-6fcde61bb71f · outbound

This paper cites Sst-sal: A spherical spatio-temporal approach for saliency prediction in 360°videos,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Sst-sal: A spherical spatio-temporal approach for saliency prediction in 360°videos,

Reference 43

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Observation 91845234-4e68-4bae-8b4d-13ae2b2891fd · outbound

This paper cites 360spred: Saliency prediction for 360-degree videos based on 3d separable graph convolutional networks,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos 360spred: Saliency prediction for 360-degree videos based on 3d separable graph convolutional networks,

Reference 44

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Observation 59c92916-997f-481e-9726-46f77e45a73a · outbound

This paper cites Rotation equiv- ariant graph convolutional network for spherical image classification,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Rotation equiv- ariant graph convolutional network for spherical image classification,

Reference 45

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Observation 05342dff-f92a-4e2f-8b27-fb86bb643ac9 · outbound

This paper cites Viewing bias matters in 360° videos visual saliency prediction,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Viewing bias matters in 360° videos visual saliency prediction,

Reference 46

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Observation 3ae7d31a-b3a4-4e2f-aa70-c7996eeb702f · outbound

This paper cites Attention Is All You Need.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Attention Is All You Need

Reference 47

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Observation 70f77c94-44ab-4752-ab26-b8ad13b2496c · outbound

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

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Imagenet: A large-scale hierarchical image database,

Reference 48

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Observation 36f9b216-9576-40c6-8996-1773fe8955b3 · outbound

This paper cites Semantic Understanding of Scenes through the ADE20K Dataset.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Semantic Understanding of Scenes through the ADE20K Dataset

Reference 49

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Observation 09feb26e-5627-4a97-a9fb-e386cda8e1cf · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 50

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Observation eb280d64-8110-4318-b8f9-70219d2fbf80 · outbound

This paper cites Torchvision: Pytorch’s com- puter vision library [software],.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Torchvision: Pytorch’s com- puter vision library [software],

Reference 51

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Observation 444b580d-52a6-41b9-b6e7-bae4e0bc4f01 · outbound

This paper cites What do different evaluation metrics tell us about saliency models?.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos What do different evaluation metrics tell us about saliency models?

Reference 52

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Observation 52b37c03-9a92-4e40-a030-0ffacf9308ec · outbound

This paper cites Introducing un salient360! benchmark: A platform for evaluating visual attention models for 360° contents,.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Introducing un salient360! benchmark: A platform for evaluating visual attention models for 360° contents,

Reference 53

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Observation f5e1b73e-a736-41f3-9f5d-4a25ae3666f8 · outbound

This paper cites ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos

Reference 2020

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Observation 916a5a94-a711-44e7-94b3-b6a91aad73bc · outbound

This paper cites Available: https://www.mdpi.com/1424-8220/23/8/4016.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos Available: https://www.mdpi.com/1424-8220/23/8/4016

Reference 2023

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