ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification | Paper Citation Record

Observation bcfbfe4a-6ea7-4642-a692-b0223b1aee5d · outbound

This paper cites Classification of sar and polsar images using deep learning: A review,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Classification of sar and polsar images using deep learning: A review,

Reference 1

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Observation b6e98aec-10f2-4104-b3e5-5f42d866dd6a · outbound

This paper cites A polarimetric projection-based scattering characteris- tics extraction tool and its application to polsar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification A polarimetric projection-based scattering characteris- tics extraction tool and its application to polsar image classification,

Reference 2

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Observation ad05cfb9-a2b8-4b1c-b6e6-f9429bdecf6d · outbound

This paper cites Unsupervised polsar im- age classification using discriminative clustering,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Unsupervised polsar im- age classification using discriminative clustering,

Reference 3

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Observation 04012b4d-3583-43b7-86db-85008a09cc1e · outbound

This paper cites Polarimetry- inspired contrastive learning for class-imbalanced polsar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Polarimetry- inspired contrastive learning for class-imbalanced polsar image classification,

Reference 4

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Observation e42bed26-51cc-4d47-9368-d410c12027c1 · outbound

This paper cites Meta-graph representation learning for polsar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Meta-graph representation learning for polsar image classification,

Reference 5

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Observation 24275182-162e-430c-ae45-fea34f39d8bc · outbound

This paper cites Polari- metric sar image semantic segmentation with 3d dis- crete wavelet transform and markov random field,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Polari- metric sar image semantic segmentation with 3d dis- crete wavelet transform and markov random field,

Reference 6

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Observation adf5ef63-debb-4a08-8690-675326895107 · outbound

This paper cites A review of target de- composition theorems in radar polarimetry,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification A review of target de- composition theorems in radar polarimetry,

Reference 7

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Observation a9a81837-235c-4af8-a419-fce449be5fe1 · outbound

This paper cites A three-component scattering model for polarimetric sar data,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification A three-component scattering model for polarimetric sar data,

Reference 8

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Observation 2d48b8a7-3565-4650-8f6c-d49d0bee6da0 · outbound

This paper cites Four-component scattering model for polarimetric sar image decomposition,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Four-component scattering model for polarimetric sar image decomposition,

Reference 9

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Observation 15bd8f18-07ce-4026-aad2-4875262f9562 · outbound

This paper cites K- distribution for multi-look processed polarimetric sar imagery,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification K- distribution for multi-look processed polarimetric sar imagery,

Reference 10

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Observation e41c979d-9ab4-4ec6-a2a4-275223871c85 · outbound

This paper cites Unsupervised classifi- cation using polarimetric decomposition and the complex wishart classifier,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Unsupervised classifi- cation using polarimetric decomposition and the complex wishart classifier,

Reference 11

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Observation 9d121d9b-da72-41ac-9afe-eb7ac4df1834 · outbound

This paper cites Classifi- cation with a non-gaussian model for polsar data,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Classifi- cation with a non-gaussian model for polsar data,

Reference 12

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Observation c2050585-385a-48da-a986-0a2f93ead1ce · outbound

This paper cites Support vector machine for multifre- quency sar polarimetric data classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Support vector machine for multifre- quency sar polarimetric data classification,

Reference 13

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Observation 6b434324-f8cf-4911-8481-22b584daf5d9 · outbound

This paper cites Tensorial independent component analysis-based feature extraction for polarimetric sar data classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Tensorial independent component analysis-based feature extraction for polarimetric sar data classification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.938143Z

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Observation bcb09fa5-99de-4826-8a68-aab660d53ffc · outbound

This paper cites Variational bayesian wishart mixture model for polarimetric syn- thetic aperture radar data,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Variational bayesian wishart mixture model for polarimetric syn- thetic aperture radar data,

Reference 15

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Observation acc019ef-8e06-43f7-953b-af356786bc83 · outbound

This paper cites Polarimetric sar image classification using deep convolutional neural networks,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Polarimetric sar image classification using deep convolutional neural networks,

Reference 16

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Observation 4595c296-4fb1-4b6b-a7c4-0e9613a1d79e · outbound

This paper cites Complex- valued convolutional neural network and its application in polarimetric sar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Complex- valued convolutional neural network and its application in polarimetric sar image classification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.898682Z

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Observation 3a2c8957-8087-4420-b396-db7ab1ce3299 · outbound

This paper cites Exploring convolutional lstm for polsar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Exploring convolutional lstm for polsar image classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.884406Z

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Observation 946a56bf-1c8f-474b-b824-44eb84642932 · outbound

This paper cites Polarimetric convolutional network for polsar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Polarimetric convolutional network for polsar image classification,

Reference 19

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Observation 074149bf-516c-4f64-92e6-bfab10b9e7d5 · outbound

This paper cites Exploring vision transformers for polarimetric sar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Exploring vision transformers for polarimetric sar image classification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.854629Z

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Observation e0654d1d-3905-4a7c-9a20-7d5f4883b477 · outbound

This paper cites Local window attention transformer for polarimetric sar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Local window attention transformer for polarimetric sar image classification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.840034Z

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Observation d1dc00bf-82da-42b9-967b-62b2555b5bd5 · outbound

This paper cites Polarimetric sar image classification based on hierarchical scattering-spatial in- teraction transformer,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Polarimetric sar image classification based on hierarchical scattering-spatial in- teraction transformer,

Reference 22

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Observation 1ee102d0-0d0e-414b-8b5e-82ddcc34947a · outbound

This paper cites Semi-supervised complex-valued gan for polarimetric sar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Semi-supervised complex-valued gan for polarimetric sar image classification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.811499Z

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Observation beb03c2f-0312-4949-8366-cd4b9ab02e71 · outbound

This paper cites Dual-branch PolSAR Image Classification Based on GraphMAE and Local Feature Extraction.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Dual-branch PolSAR Image Classification Based on GraphMAE and Local Feature Extraction

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:56:34.446962Z

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Observation c3a55276-311a-4f9a-b003-deafec7817a0 · outbound

This paper cites Polsar image clas- sification with complex-valued diffusion model as repre- sentation learners,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Polsar image clas- sification with complex-valued diffusion model as repre- sentation learners,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.796655Z

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Observation 44b67120-c2db-4cf0-b57f-d7f14670561a · outbound

This paper cites Unsupervised deep representation learning and few-shot classification of polsar images,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Unsupervised deep representation learning and few-shot classification of polsar images,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.780899Z

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Observation 7b519163-84d4-4ee0-9860-b2e5c587d1c0 · outbound

This paper cites A mutual information-based self-supervised learning model for polsar land cover classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification A mutual information-based self-supervised learning model for polsar land cover classification,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.764624Z

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Observation e59ecdb6-3d08-4c7c-ae02-f9acc53f057a · outbound

This paper cites Exploring polsar images representation via self-supervised learning and its appli- cation on few-shot classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Exploring polsar images representation via self-supervised learning and its appli- cation on few-shot classification,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.749703Z

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Observation 5713c6e6-9558-4405-b7e4-4f7fdc39253b · outbound

This paper cites A graph-based semisupervised deep learning model for polsar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification A graph-based semisupervised deep learning model for polsar image classification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.735348Z

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Observation 059f04d0-aa78-45c0-8396-e04890ff5879 · outbound

This paper cites Recent advances in deep learning models: a systematic literature review,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Recent advances in deep learning models: a systematic literature review,

Reference 30

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Observation 7b2421fb-b757-4041-a6b6-af01cd919a57 · outbound

This paper cites Modeling polsar classification using convolutional neural network with homogeneity based kernel selection,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Modeling polsar classification using convolutional neural network with homogeneity based kernel selection,

Reference 31

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Observation 5a969ac0-0600-472c-bce4-267b2c641fe3 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 32

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Observation 2a6483c9-d887-468e-a0b9-5f683d3a4861 · outbound

This paper cites Attention is all you need,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Attention is all you need,

Reference 33

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Observation dfba94bf-384b-4cdc-ba12-da5ae3c9063e · outbound

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

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 34

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

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Efficiently Modeling Long Sequences with Structured State Spaces

Reference 35

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Observation 92fad788-5885-4e82-840b-77cf0ba63f06 · outbound

This paper cites Visual Mamba: A Survey and New Outlooks.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Visual Mamba: A Survey and New Outlooks

Reference 36

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Observation 621f1fa4-afa8-45f5-880f-73ada0ba5756 · outbound

This paper cites Intensity and phase statistics of multilook polarimetric and inter- ferometric sar imagery,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Intensity and phase statistics of multilook polarimetric and inter- ferometric sar imagery,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.680061Z

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Observation 2f11f696-7274-4327-8548-2a09c28224f8 · outbound

This paper cites A review of target decomposi- tion theorems in radar polarimetry,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification A review of target decomposi- tion theorems in radar polarimetry,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.665120Z

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Observation 526a71e3-621e-45d9-b7fe-e62943ebeb74 · outbound

This paper cites Random neighbor pixel-block-based deep re- current learning for polarimetric sar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Random neighbor pixel-block-based deep re- current learning for polarimetric sar image classification,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.650191Z

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Observation cb2e774b-a028-467b-9202-1df99a5bac2d · outbound

This paper cites An active deep learning approach for minimally supervised polsar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification An active deep learning approach for minimally supervised polsar image classification,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.633008Z

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Observation ebca4d97-6efe-4de3-93e9-19bb499dc08e · outbound

This paper cites Unsupervised feature learning via non-parametric instance discrimina- tion,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Unsupervised feature learning via non-parametric instance discrimina- tion,

Reference 41

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Observation d228a29f-000d-4714-87d2-02e5ea723b23 · outbound

This paper cites Mo- mentum contrast for unsupervised visual representation learning,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Mo- mentum contrast for unsupervised visual representation learning,

Reference 42

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Observation deb4b959-ca31-41df-b32b-c4a65f32298c · outbound

This paper cites What makes for good views for contrastive learning?.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification What makes for good views for contrastive learning?

Reference 43

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Observation a3f8b4a6-64a0-4e18-b043-484d4a7358fa · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Bootstrap your own latent-a new approach to self-supervised learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.572485Z

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Observation 0209fed2-e7fc-4ac3-beeb-d17a2083590b · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Emerging properties in self-supervised vision transformers,

Reference 45

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Observation efa229fe-75ee-4095-9fa9-1faa874253b3 · outbound

This paper cites Multi-scale con- trastive learning method for polsar image classification,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Multi-scale con- trastive learning method for polsar image classification,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.547501Z

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Observation 07d1e64c-6421-4dd5-89e0-fbf0fc8a7a53 · outbound

This paper cites VMamba: Visual State Space Model.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification VMamba: Visual State Space Model

Reference 47

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Observation 86d81d4a-f73e-4c2d-b3dd-eda88e89c244 · outbound

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

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Vision Mamba: A Comprehensive Survey and Taxonomy

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:32.491114Z

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Observation 10af87c6-83ba-4771-85e8-d9c9f471f920 · outbound

This paper cites PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:32.562984Z

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Observation 46d56f3a-6c1f-42cf-86fc-9d47445f44dd · outbound

This paper cites LocalMamba: Visual State Space Model with Windowed Selective Scan.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification LocalMamba: Visual State Space Model with Windowed Selective Scan

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:32.665862Z

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Observation 767a09a1-6ef6-41ac-9951-1431bc1568aa · outbound

This paper cites MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:32.743179Z

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Observation 6ed5ecd9-7135-4bd1-a1d8-bdd2c1728d14 · outbound

This paper cites EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:32.831998Z

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Observation 24c5e970-511c-487e-9db7-bd342f9f0c90 · outbound

This paper cites Rsmamba: Remote sensing image classification with state space model,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Rsmamba: Remote sensing image classification with state space model,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.532497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bb502130-a548-4d9e-9157-87c7c5c7cdb3 · outbound

This paper cites SpectralMamba: Efficient Mamba for Hyperspectral Image Classification.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification SpectralMamba: Efficient Mamba for Hyperspectral Image Classification

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:33.058303Z

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Observation a27108f2-3c3f-4307-8210-d6dec926b39f · outbound

This paper cites Ssumamba: Spatial- spectral selective state space model for hyperspectral image denoising,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Ssumamba: Spatial- spectral selective state space model for hyperspectral image denoising,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.516906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5f40d82-ec10-466c-a99f-c2beb4c87faf · outbound

This paper cites ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:33.262060Z

Source-reported events for the cited work

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Observation 6c94303b-955c-46b8-902c-6066828c0c3c · outbound

This paper cites Denoising diffusion probabilistic models,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Denoising diffusion probabilistic models,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:33.393473Z

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Observation 62610a8f-4904-4586-a44c-67c5b3003bd8 · outbound

This paper cites Decoupled Weight Decay Regularization.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Decoupled Weight Decay Regularization

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:33.542297Z

Source-reported events for the cited work

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Observation 0f28b408-3302-4933-9065-e3a22ee6c58a · outbound

This paper cites PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:33.693707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57bfaea0-90aa-4ec5-8b19-defe3d569f2f · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:33.840673Z

Source-reported events for the cited work

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Observation beaf38e7-295b-41f4-9898-19f9b6e10841 · outbound

This paper cites Polsar image classification based on robust low-rank feature ex- traction and markov random field,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Polsar image classification based on robust low-rank feature ex- traction and markov random field,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.491760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 13a0e075-d150-4915-af6a-e092d9df8c8f · outbound

This paper cites Polsar image classification based on 3d generative adversarial networks,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Polsar image classification based on 3d generative adversarial networks,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.476735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4b81fdb0-bcba-4801-8a8f-3630f72f59f7 · outbound

This paper cites Polsf: Polsar image datasets on san francisco,.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification Polsf: Polsar image datasets on san francisco,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:34.462637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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