Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images | Paper Citation Record

Observation d4e34c95-c5c2-4214-9d18-dedf04f696f6 · outbound

This paper cites High- erhrnet: Scale-aware representation learning for bottom-up human pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images High- erhrnet: Scale-aware representation learning for bottom-up human pose estimation,

Reference 1

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Observation f05f1240-1974-4cf9-ab1b-e397c38ea079 · outbound

This paper cites Hrformer: High-resolution vision transformer for dense predict,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Hrformer: High-resolution vision transformer for dense predict,

Reference 2

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Observation 02a20135-e84e-48b6-8730-5bff9bc0e0fb · outbound

This paper cites Lite pose: Efficient architecture design for 2d human pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Lite pose: Efficient architecture design for 2d human pose estimation,

Reference 3

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Observation f57db4af-1f7c-4088-b59a-b80f132969c4 · outbound

This paper cites Tempose: A new skeleton-based transformer model designed for fine-grained motion recognition in badminton,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Tempose: A new skeleton-based transformer model designed for fine-grained motion recognition in badminton,

Reference 4

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Observation 5f03b706-f9d3-41d2-80c0-15bcda58a414 · outbound

This paper cites Hiformer: Hierarchical multi-scale representations using transformers for medical image segmentation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Hiformer: Hierarchical multi-scale representations using transformers for medical image segmentation,

Reference 5

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Observation 6e676b1f-7d42-4a4f-8db4-85198cbd34a8 · outbound

This paper cites Deep high-resolution repre- sentation learning for human pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Deep high-resolution repre- sentation learning for human pose estimation,

Reference 6

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Observation 4fc4d1d0-e95b-4390-af13-03b97360d40b · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 7

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Observation 99823c61-5dbd-4b81-b905-7aeaf5f80594 · outbound

This paper cites Sg-former: Self-guided transformer with evolving token reallocation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Sg-former: Self-guided transformer with evolving token reallocation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.692571Z

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Observation 116c4406-e640-4be0-9840-bdc0fb56b0d9 · outbound

This paper cites Efficientvit: Memory efficient vision transformer with cascaded group attention,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Efficientvit: Memory efficient vision transformer with cascaded group attention,

Reference 9

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Observation ded43b40-0428-4edf-838c-80f23b127bdd · outbound

This paper cites Crossvit: Cross-attention multi- scale vision transformer for image classification,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Crossvit: Cross-attention multi- scale vision transformer for image classification,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T23:50:02.338752Z

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Observation 333918da-ac2b-4746-a0a4-4eef2d03b3a2 · outbound

This paper cites Few-shot object detection with fully cross-transformer,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Few-shot object detection with fully cross-transformer,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.648244Z

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Observation 7aeb8b03-9f1c-4403-9e87-7c4490173e1f · outbound

This paper cites Topformer: Token pyramid transformer for mobile semantic segmentation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Topformer: Token pyramid transformer for mobile semantic segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.633543Z

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Observation 2c7281bc-e865-44df-b09f-d5ba852a6f3c · outbound

This paper cites P2t: Pyramid pooling transformer for scene understanding,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images P2t: Pyramid pooling transformer for scene understanding,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.616309Z

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Observation 52a26bbb-a47b-4e9a-bab1-c0980fa49f24 · outbound

This paper cites Shunted self-attention via multi-scale token aggregation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Shunted self-attention via multi-scale token aggregation,

Reference 14

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Observation f00c7eb1-dcc9-43d8-b774-c8d335dfcc0d · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T23:50:02.365839Z

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Observation 62d61b90-4cb8-4840-98e5-87b93e06264c · outbound

This paper cites Scale-aware modula- tion meet transformer,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Scale-aware modula- tion meet transformer,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.579503Z

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Observation 9e791be2-237c-439d-bedd-b283e764f2ff · outbound

This paper cites Sbcformer: Lightweight network capable of full-size imagenet classification at 1 fps on single board computers,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Sbcformer: Lightweight network capable of full-size imagenet classification at 1 fps on single board computers,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.560595Z

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Observation a5be51c4-2d5b-4abe-a675-caf5d3c22730 · outbound

This paper cites Task-driven super resolu- tion: Object detection in low-resolution images,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Task-driven super resolu- tion: Object detection in low-resolution images,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.543854Z

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Observation 9bdc5457-1ffe-4b64-b22c-22f7fbbf8a8d · outbound

This paper cites Derivenet for (very) low resolution image classification,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Derivenet for (very) low resolution image classification,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.528926Z

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Observation 22eed04d-5ad4-4645-a364-61eb3201fb40 · outbound

This paper cites Image super-resolution with non-local sparse attention,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Image super-resolution with non-local sparse attention,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.515470Z

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Observation 90f3d0fa-b389-4a15-b933-b931ad2e2b5a · outbound

This paper cites Low-resolution human pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Low-resolution human pose estimation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.501150Z

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Observation d9a048ec-fb12-42c1-9625-8b9b19e8c16f · outbound

This paper cites Feature map distillation of thin nets for low-resolution object recognition,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Feature map distillation of thin nets for low-resolution object recognition,

Reference 22

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Observation 674cae0e-4619-44b7-8e18-d1bd8dd50f8c · outbound

This paper cites Transformer for single image super-resolution,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Transformer for single image super-resolution,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.475659Z

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Observation 05a805f0-af10-4a5b-808e-3a1177e97e21 · outbound

This paper cites Essaformer: Efficient transformer for hyperspectral image super- resolution,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Essaformer: Efficient transformer for hyperspectral image super- resolution,

Reference 24

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Observation b0168ad9-9a09-46a7-b2ec-f1574688b0b8 · outbound

This paper cites Steformer: Efficient stereo image super- resolution with transformer,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Steformer: Efficient stereo image super- resolution with transformer,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.451288Z

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Observation 41d60586-7b91-4826-8596-c058cd811d58 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.437144Z

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Observation 7ddb1580-2615-4625-a987-b36302932562 · outbound

This paper cites Cswin transformer: A general vision transformer backbone with cross-shaped windows,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Cswin transformer: A general vision transformer backbone with cross-shaped windows,

Reference 27

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Observation f678b933-2780-487b-88fc-62f9ef5a671a · outbound

This paper cites Neighborhood attention transformer,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Neighborhood attention transformer,

Reference 28

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Observation 399839dd-3d68-4bd5-a963-a3f0b1a95fa6 · outbound

This paper cites Vision transformer with quad- rangle attention,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Vision transformer with quad- rangle attention,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.397126Z

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Observation a326f272-319f-4ae0-800d-cde0a5885c5d · outbound

This paper cites Mobilevit: Light-weight, general-purpose, and mobile-friendly vision transformer,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Mobilevit: Light-weight, general-purpose, and mobile-friendly vision transformer,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.373476Z

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Observation 920b8e25-02cf-47b3-9266-13d5f65bb66f · outbound

This paper cites Rethinking Vision Transformers for MobileNet Size and Speed.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Rethinking Vision Transformers for MobileNet Size and Speed

Reference 31

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Observation 2b03565e-de20-4670-ab48-4afcfb4b8a1c · outbound

This paper cites Rethinking Mobile Block for Efficient Attention-based Models.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Rethinking Mobile Block for Efficient Attention-based Models

Reference 32

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Observation 5b7de592-2ac9-4240-bbdc-634e3537f5f4 · outbound

This paper cites FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization

Reference 33

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Observation d60f5ae1-fa31-4320-adc3-b1b8230a13f5 · outbound

This paper cites Repvit: Revisiting mobile cnn from vit perspective,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Repvit: Revisiting mobile cnn from vit perspective,

Reference 34

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Observation 84da336e-47a1-4094-bc0e-a533e7cd9665 · outbound

This paper cites Hydra atten- tion: Efficient attention with many heads,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Hydra atten- tion: Efficient attention with many heads,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.344162Z

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Observation a00236d8-38ff-45e8-838a-686d92bc912e · outbound

This paper cites The principle of diversity: Training stronger vision transformers calls for reducing all levels of redundancy,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images The principle of diversity: Training stronger vision transformers calls for reducing all levels of redundancy,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.328010Z

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Observation 5e126892-c06d-49b9-891a-c3fe1ebcc9dd · outbound

This paper cites Levit: a vision transformer in convnet’s clothing for faster inference,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Levit: a vision transformer in convnet’s clothing for faster inference,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.312628Z

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Observation 925d0235-9254-44e4-9aee-936f802f13ba · outbound

This paper cites Pvt v2: Improved baselines with pyramid vision transformer,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Pvt v2: Improved baselines with pyramid vision transformer,

Reference 38

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Observation a85bac8b-ed73-4ea6-8240-9435546dcb03 · outbound

This paper cites Cmt: Convolutional neural networks meet vision transformers,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Cmt: Convolutional neural networks meet vision transformers,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T23:50:02.527001Z

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Observation b386e4cd-13ee-4c80-af45-d2e5fded5d59 · outbound

This paper cites Conditional Positional Encodings for Vision Transformers.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Conditional Positional Encodings for Vision Transformers

Reference 40

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Observation 4822cba1-b589-4170-85a2-2cebd9474429 · outbound

This paper cites Diverse branch block: Building a convolution as an inception-like unit,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Diverse branch block: Building a convolution as an inception-like unit,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.262955Z

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Observation 460025ce-b10e-4427-b64e-928c76e4ccde · outbound

This paper cites Mobileone: An improved one millisecond mobile backbone,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Mobileone: An improved one millisecond mobile backbone,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.234807Z

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Observation b4f7e7df-74b2-4672-91ad-1f0cd0db6218 · outbound

This paper cites Simple baselines for human pose estimation and tracking,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Simple baselines for human pose estimation and tracking,

Reference 43

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Observation 0000e52f-b887-4a37-8d83-a83f149b5797 · outbound

This paper cites Distribution-aware coordinate representation for human pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Distribution-aware coordinate representation for human pose estimation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.204823Z

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Observation 52fc997c-a603-4d81-98b2-aaeb2c6a895f · outbound

This paper cites The devil is in the details: Delving into unbiased data processing for human pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images The devil is in the details: Delving into unbiased data processing for human pose estimation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.189313Z

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Observation f0a3c97b-27bf-418e-9f5e-f4a90619ea2c · outbound

This paper cites Vitpose: Simple vision transformer baselines for human pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Vitpose: Simple vision transformer baselines for human pose estimation,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T23:50:02.593229Z

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Observation 8592d426-fdf4-447d-bb2d-e125e8df706f · outbound

This paper cites Human pose as compositional tokens,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Human pose as compositional tokens,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.162887Z

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Observation 4c8990d9-08a3-4ab9-8b5f-b9edc4ef30b6 · outbound

This paper cites Microsoft coco: Common objects in context,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Microsoft coco: Common objects in context,

Reference 48

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Observation c25f6ef2-26c1-4ac5-bcea-cca814886d61 · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Training data-efficient image transformers & distillation through attention,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.135763Z

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Observation ed5a885c-7ef1-4e3a-ae85-f21c8c3c0c09 · outbound

This paper cites Decoupled weight decay regularization,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Decoupled weight decay regularization,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.119294Z

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Observation 0ec06288-4d66-4803-bb5e-924e450f6c55 · outbound

This paper cites Face alignment across large poses: A 3d solution,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Face alignment across large poses: A 3d solution,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.104048Z

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Observation 8ede41d2-e327-414f-af8b-703f00ca17a2 · outbound

This paper cites Random forests for real time 3d face analysis,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Random forests for real time 3d face analysis,

Reference 52

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Observation 63c55ea2-9bb7-430b-b1b0-319528d3eddd · outbound

This paper cites Fine-grained head pose estimation without keypoints,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Fine-grained head pose estimation without keypoints,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.070784Z

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Observation 83c6bc86-a4db-4063-8a24-588de7b1bd84 · outbound

This paper cites Fsa-net: Learning fine-grained structure aggregation for head pose estimation from a single image,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Fsa-net: Learning fine-grained structure aggregation for head pose estimation from a single image,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.055685Z

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Observation 3a2f0abf-f422-4e98-8f60-9e2a1fe89e18 · outbound

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

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Imagenet: A large-scale hierarchical image database,

Reference 55

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Observation fb545052-10fd-483b-a0e1-d6e1a688f3ba · outbound

This paper cites Improving head pose estimation with a combined loss and bounding box margin adjustment,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Improving head pose estimation with a combined loss and bounding box margin adjustment,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.030877Z

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Observation 88f0e53b-f7be-492c-9e8b-2db7e7945837 · outbound

This paper cites Whenet: Real-time fine-grained estimation for wide range head pose,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Whenet: Real-time fine-grained estimation for wide range head pose,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.017254Z

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Observation f851c8b2-5378-4f6e-8da1-1a177c773772 · outbound

This paper cites Tokenhpe: Learning orientation tokens for efficient head pose estimation via transformers,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Tokenhpe: Learning orientation tokens for efficient head pose estimation via transformers,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:03.002281Z

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Observation bab87137-c61d-4f2f-a3c7-286247f85918 · outbound

This paper cites Fdn: Feature decoupling net- work for head pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Fdn: Feature decoupling net- work for head pose estimation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:02.986726Z

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Observation 354e7600-0c10-432c-a52f-4ffd7ce5a952 · outbound

This paper cites Accurate head pose estima- tion using image rectification and a lightweight convolutional neural network,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Accurate head pose estima- tion using image rectification and a lightweight convolutional neural network,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:02.972268Z

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Observation b353beb2-dda7-4d33-bd67-7e6028e68aa0 · outbound

This paper cites Eva-gcn: Head pose estimation based on graph convolutional networks,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Eva-gcn: Head pose estimation based on graph convolutional networks,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:02.957117Z

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Observation 4ee5dc7d-81b3-48ea-9a04-ef7b599f6c61 · outbound

This paper cites Mfdnet: Collaborative poses perception and matrix fisher distribution for head pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Mfdnet: Collaborative poses perception and matrix fisher distribution for head pose estimation,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:02.942840Z

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Observation 44b1e286-1ac9-4c7d-8e0a-417106b14f2e · outbound

This paper cites Real-time 6dof full-range markerless head pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Real-time 6dof full-range markerless head pose estimation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:02.926619Z

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Observation 29270784-2693-40e6-ad73-fa788ae408b0 · outbound

This paper cites Toward robust and unconstrained full range of rotation head pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Toward robust and unconstrained full range of rotation head pose estimation,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T23:50:02.681989Z

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Observation 81eb3287-c079-462c-bd73-4d16e5ddc414 · outbound

This paper cites A vector-based representation to enhance head pose estimation,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images A vector-based representation to enhance head pose estimation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:02.901595Z

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Observation 1e460228-b367-4bc7-bc8b-a839f42771eb · outbound

This paper cites 2dheadpose: A simple and effective annotation method for the head pose in rgb images and its dataset,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images 2dheadpose: A simple and effective annotation method for the head pose in rgb images and its dataset,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:02.882505Z

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Observation 187c3fa6-7568-4419-a191-3eadea0b0acb · outbound

This paper cites Tokens-to-token vit: Training vision transformers from scratch on imagenet,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Tokens-to-token vit: Training vision transformers from scratch on imagenet,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T23:50:02.695097Z

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Observation e9f94419-6228-4186-a74f-b18772609cf1 · outbound

This paper cites A convnet for the 2020s,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images A convnet for the 2020s,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T23:50:02.700828Z

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Observation 609c4498-9b6d-432e-b857-78a935785081 · outbound

This paper cites Deep residual learning for image recognition,.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Deep residual learning for image recognition,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:02.839201Z

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Observation 12f5252b-2563-46ee-82eb-c591ecadf995 · outbound

This paper cites His research interests are in the field of computer vision and machine learning.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images His research interests are in the field of computer vision and machine learning

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:50:02.820433Z

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