Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation | Paper Citation Record

Observation f6519a2f-745c-4a68-85b5-9a8d94362c75 · outbound

This paper cites Land cover classification from remote sensing images based on multi-scale fully convolutional network,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Land cover classification from remote sensing images based on multi-scale fully convolutional network,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:51.325306Z

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Observation 220e60ad-f866-4b02-9459-5a3bb77bb337 · outbound

This paper cites Land cover mapping at very high resolution with rotation equivariant cnns: Towards small yet accurate models,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Land cover mapping at very high resolution with rotation equivariant cnns: Towards small yet accurate models,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:51.195779Z

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Observation 8e1606fd-198d-4285-a0d9-85954fdf54c6 · outbound

This paper cites A scale-invariant change detection method for land use/cover change research,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation A scale-invariant change detection method for land use/cover change research,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:51.052645Z

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Observation d8167c8f-e1ab-4414-a2d2-80df3f0bc2b9 · outbound

This paper cites Siamese kpconv: 3d multiple change detection from raw point clouds using deep learning,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Siamese kpconv: 3d multiple change detection from raw point clouds using deep learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:50.910827Z

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Observation cec57662-e815-4eff-9650-e357bba77f21 · outbound

This paper cites Examining the impacts of future land use/land cover changes on climate in punjab province, pakistan: Implications for environmental sustainability and economic growth,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Examining the impacts of future land use/land cover changes on climate in punjab province, pakistan: Implications for environmental sustainability and economic growth,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:50.747107Z

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Observation 3e8177b6-76a0-4e29-b992-15e15f6d63f8 · outbound

This paper cites Dgnet: Distribution guided efficient learning for oil spill image segmentation,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Dgnet: Distribution guided efficient learning for oil spill image segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:50.594235Z

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Observation 4431c32f-cb53-4b1f-89ac-51470a1e2a83 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Fully convolutional networks for semantic segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:50.365513Z

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Observation 83503226-f82d-49f7-93a3-cfce31c42a27 · outbound

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

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation U-net: Convolutional networks for biomedical image segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:50.140841Z

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Observation d0e637a0-514c-472c-9993-0035c865fd4c · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Encoder- decoder with atrous separable convolution for semantic image segmen- tation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:49.950140Z

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Observation b8c6d116-8e62-430f-b73e-0de031a8b2da · outbound

This paper cites Normattention- psn: A high-frequency region enhanced photometric stereo network with normalized attention,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Normattention- psn: A high-frequency region enhanced photometric stereo network with normalized attention,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:49.772711Z

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Observation c3322bcb-f51d-4c36-b6f3-210af729d14b · outbound

This paper cites Combining swin transformer with unet for remote sensing image semantic segmentation,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Combining swin transformer with unet for remote sensing image semantic segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:49.320030Z

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Observation d43cc841-3dd1-4d9e-b0d9-ae452894bf64 · outbound

This paper cites Unetformer: A unet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Unetformer: A unet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:49.084581Z

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Observation c466ad27-1642-4c24-afc4-84f7df66cb2a · outbound

This paper cites Promptrestorer: A prompting image restoration method with degrada- tion perception,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Promptrestorer: A prompting image restoration method with degrada- tion perception,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:48.847375Z

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Observation 1f04d364-4c4b-4782-a962-5c4a8e284382 · outbound

This paper cites Category-guided graph convolu- tion network for semantic segmentation,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Category-guided graph convolu- tion network for semantic segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:48.646516Z

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Observation 30f45968-feb2-45bd-be43-f235ef4a65fc · outbound

This paper cites Category attention guided network for semantic segmentation of fine-resolution remote sensing images,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Category attention guided network for semantic segmentation of fine-resolution remote sensing images,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:48.383190Z

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Observation d86ab661-8ece-411c-8536-c91d7eb05c96 · outbound

This paper cites Cgglnet: Semantic seg- mentation network for remote sensing images based on category-guided global-local feature interaction,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Cgglnet: Semantic seg- mentation network for remote sensing images based on category-guided global-local feature interaction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:48.113176Z

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Observation 708092a0-7c55-4989-af27-f471ba4249a6 · outbound

This paper cites Class- guided swin transformer for semantic segmentation of remote sensing imagery,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Class- guided swin transformer for semantic segmentation of remote sensing imagery,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:47.885071Z

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Observation d4e66918-30bf-4a65-be70-443d2e0168e1 · outbound

This paper cites Enhanced multi-level features for very high resolution remote sensing scene classification,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Enhanced multi-level features for very high resolution remote sensing scene classification,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:47.695376Z

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Observation 62295aa6-0ba0-4a29-a734-ea84628d2a35 · outbound

This paper cites Recovering surface normal and arbitrary images: A dual regression network for photometric stereo,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Recovering surface normal and arbitrary images: A dual regression network for photometric stereo,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:47.482185Z

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Observation d77e2b39-5246-4424-bfa8-ecdcd915a0d1 · outbound

This paper cites Attention is all you need,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Attention is all you need,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:47.226868Z

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Observation 9fedcac7-34db-4e88-b104-b46e11f3720e · outbound

This paper cites Rethinking Attention with Performers.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Rethinking Attention with Performers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:37.881546Z

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Observation ed68ae21-b2a4-4d44-a93c-879062e42b8b · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Transformers are rnns: Fast autoregressive transformers with linear attention,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:46.999286Z

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Observation 21c0b155-274c-4b48-9ec3-6a48c02476af · outbound

This paper cites Deep learning methods for calibrated photometric stereo and beyond,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Deep learning methods for calibrated photometric stereo and beyond,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:46.763287Z

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Observation 60e40d33-3d7a-418a-b160-53e19155a870 · outbound

This paper cites Esti- mating high-resolution surface normals via low-resolution photometric stereo images,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Esti- mating high-resolution surface normals via low-resolution photometric stereo images,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:46.482294Z

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Observation 2da84d4c-65da-431e-81f6-baf3e40f5fca · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:38.163783Z

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Observation 3813da77-c276-4e9a-ae18-4734e46011ef · outbound

This paper cites Vmamba: Visual state space model,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Vmamba: Visual state space model,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:46.234553Z

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Observation 67f35f23-ee3d-4984-adda-ffdbb92148c1 · outbound

This paper cites Rs-mamba for large remote sensing image dense prediction,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Rs-mamba for large remote sensing image dense prediction,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:45.975672Z

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Observation fb418a6c-3228-4843-8c59-a319857fc0ea · outbound

This paper cites Rscama: Remote sensing image change captioning with state space model,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Rscama: Remote sensing image change captioning with state space model,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:45.728088Z

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Observation ce9be3c4-40fa-4d07-93e0-28d1d0b99a59 · outbound

This paper cites A mamba-aware spatial spectral cross-modal network for remote sensing classification,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation A mamba-aware spatial spectral cross-modal network for remote sensing classification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:45.511318Z

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Observation ea88707e-7197-4ded-bc9f-bbe747a1ab75 · outbound

This paper cites Fusionmamba: Efficient remote sensing image fusion with state space model,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Fusionmamba: Efficient remote sensing image fusion with state space model,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:45.335409Z

Source-reported events for the cited work

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Observation 86680bc7-cfe0-4fff-b7a8-033696ecf171 · outbound

This paper cites Incorporating lambertian priors into surface normals measurement,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Incorporating lambertian priors into surface normals measurement,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:45.247535Z

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Observation f01662b8-6d77-4f3a-8180-df64bab3b515 · outbound

This paper cites Gr-psn: Learning to estimate surface normal and reconstruct photometric stereo images,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Gr-psn: Learning to estimate surface normal and reconstruct photometric stereo images,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:45.135945Z

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Observation 950c36ea-e13e-4c9b-8a9f-a63154778297 · outbound

This paper cites Pyramid scene parsing network,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Pyramid scene parsing network,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:45.032281Z

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Observation eb67fa26-0c28-47ec-8322-7ca979c0d8ab · outbound

This paper cites Multistage attention resu-net for semantic segmentation of fine-resolution remote sensing images,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Multistage attention resu-net for semantic segmentation of fine-resolution remote sensing images,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:44.877491Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 150bb6c5-58f1-4e4a-a903-b9007d6952cd · outbound

This paper cites A novel transformer based semantic segmentation scheme for fine-resolution remote sensing images,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation A novel transformer based semantic segmentation scheme for fine-resolution remote sensing images,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:49.513439Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86a5cd85-b411-4751-a417-a6c91a718802 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Masked-attention mask transformer for universal image segmentation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:44.747991Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9ad9f2e1-d76d-40b4-b00b-d5b09fdfcf9c · outbound

This paper cites Multiscale prototype contrast network for high-resolution aerial imagery semantic segmentation,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Multiscale prototype contrast network for high-resolution aerial imagery semantic segmentation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:44.638645Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 35279cb1-6a9a-4baf-9cbc-ad0f39a16c0b · outbound

This paper cites Log-can: local-global class-aware network for semantic segmentation of remote sensing images,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Log-can: local-global class-aware network for semantic segmentation of remote sensing images,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:44.484411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8325a556-391a-477b-8ef8-3cb5fe71a0ac · outbound

This paper cites Logcan++: Adaptive local-global class-aware network for semantic segmentation of remote sensing images,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Logcan++: Adaptive local-global class-aware network for semantic segmentation of remote sensing images,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:44.358322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dcf3f9d7-2425-422a-a15b-a637bf4d273f · outbound

This paper cites Class guided channel weighting network for fine-grained semantic segmentation,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Class guided channel weighting network for fine-grained semantic segmentation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:44.240365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 560db11d-e848-4981-a798-9568405a6013 · outbound

This paper cites Learning to refine human pose estimation,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Learning to refine human pose estimation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:44.112086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 886f38e2-5117-4ccb-9632-99230ca80716 · outbound

This paper cites Prototypical networks for few-shot learning,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Prototypical networks for few-shot learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:43.951902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46057c59-dd34-4718-b094-e804a5442b6e · outbound

This paper cites Hippo: Recurrent memory with optimal polynomial projections,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Hippo: Recurrent memory with optimal polynomial projections,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:43.799709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4cf78e56-7e8e-4f8d-a623-9459f93062b0 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Combining recurrent, convolutional, and continuous-time models with linear state space layers,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:43.650209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db9f8f1f-4d9e-4b23-a863-01bc47490d15 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:39.707949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c2ed3bb-34c6-4f4f-abb7-f4fc1f7ddf14 · outbound

This paper cites Liquid Structural State-Space Models.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Liquid Structural State-Space Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:39.783246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e16e536-b3da-4707-85dc-7dc7b8510ca4 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Simplified State Space Layers for Sequence Modeling

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:39.901263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6695efcc-a676-4041-9cf5-6512d37f06af · outbound

This paper cites Samba: Semantic segmentation of remotely sensed images with state space model,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Samba: Semantic segmentation of remotely sensed images with state space model,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:43.433099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3241025d-076e-4afc-bbe3-94e833c5b4d3 · outbound

This paper cites PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:40.024644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d2e44ce-fcda-4d1f-98ba-8484db0dbe86 · outbound

This paper cites A convnet for the 2020s,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation A convnet for the 2020s,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:43.279733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e166c630-875a-42e7-b280-db3b7676f054 · outbound

This paper cites Pin the memory: Learning to generalize semantic segmentation,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Pin the memory: Learning to generalize semantic segmentation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:43.152343Z

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Observation c8682930-155b-4052-be44-2695fcbd121f · outbound

This paper cites Structtoken: Rethinking semantic segmentation with structural prior,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Structtoken: Rethinking semantic segmentation with structural prior,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:42.996152Z

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Observation 8bbac2b8-fbeb-4ba8-85fd-7da6b32f8d7b · outbound

This paper cites Semantic segmentation of remote sensing images using multiway fusion network,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Semantic segmentation of remote sensing images using multiway fusion network,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:42.780951Z

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Observation 2d8cfbf1-7177-41bc-935a-841ac93c93eb · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation RWKV: Reinventing RNNs for the Transformer Era

Reference 55

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Observation 8edba2d7-6dde-4e53-895d-9000b230cbf0 · outbound

This paper cites Hyena hierarchy: Towards larger con- volutional language models,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Hyena hierarchy: Towards larger con- volutional language models,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:42.590933Z

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Observation e41541cf-5ea7-4794-b443-3e081dae173a · outbound

This paper cites Deep learning face representa- tion by joint identification-verification,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Deep learning face representa- tion by joint identification-verification,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:42.458104Z

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Observation b9a1cbe4-0e4d-4aed-93be-855d2a08f444 · outbound

This paper cites Dual-branch network for spatial-channel stream modeling based on the state space model for remote sensing image segmentation,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Dual-branch network for spatial-channel stream modeling based on the state space model for remote sensing image segmentation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:42.216781Z

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Observation 8b9f273f-1169-428f-bc04-d78882d1ce88 · outbound

This paper cites Parallelizing Linear Recurrent Neural Nets Over Sequence Length.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Parallelizing Linear Recurrent Neural Nets Over Sequence Length

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:40.887033Z

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Observation b24d66e7-be21-4d46-84ac-f352204fef2f · outbound

This paper cites LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:40.950101Z

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This paper cites Maxvit: Multi-axis vision transformer,.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Maxvit: Multi-axis vision transformer,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:42.069539Z

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Observation e8b171ce-9120-4683-883e-c6fedc90bcc5 · outbound

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

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:41.932941Z

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Observation afca1150-c8d9-43e8-bca2-5cf5e71a06be · outbound

This paper cites Vision Mamba: A Comprehensive Survey and Taxonomy.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Vision Mamba: A Comprehensive Survey and Taxonomy

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:41.273682Z

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Observation 57d1d8a0-00d6-4753-bb6e-2f3ab64c1f4d · outbound

This paper cites Subsequently, he served as an Associate Dean for the College of Engineering for eight years.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation Subsequently, he served as an Associate Dean for the College of Engineering for eight years

Reference 1991

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:41.675350Z

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