Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention | Paper Citation Record

Observation 0f59f96a-4d16-429b-99ab-f800e099ba95 · outbound

This paper cites Swin transformer embedding unet for remote sensing image semantic segmen- tation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Swin transformer embedding unet for remote sensing image semantic segmen- tation,

Reference 1

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This paper cites Spectralgpt: Spectral remote sensing foun- dation model,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Spectralgpt: Spectral remote sensing foun- dation model,

Reference 2

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This paper cites A deep framework for eddy detection and tracking from satellite sea surface height data,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention A deep framework for eddy detection and tracking from satellite sea surface height data,

Reference 3

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This paper cites A modular remote sensing big data framework,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention A modular remote sensing big data framework,

Reference 4

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This paper cites Attention- convnet network for ocean-front prediction via remote sensing sst images,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Attention- convnet network for ocean-front prediction via remote sensing sst images,

Reference 5

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Observation 2a99a7e8-d959-4158-8d4a-637b4999d341 · outbound

This paper cites Deep learning in remote sensing: A comprehensive review and list of resources,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Deep learning in remote sensing: A comprehensive review and list of resources,

Reference 6

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This paper cites Change detection from very-high-spatial-resolution op- tical remote sensing images: Methods, applications, and future direc- tions,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Change detection from very-high-spatial-resolution op- tical remote sensing images: Methods, applications, and future direc- tions,

Reference 7

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This paper cites Confidence-weighted dual- teacher networks with biased contrastive learning for semi-supervised semantic segmentation in remote sensing images,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Confidence-weighted dual- teacher networks with biased contrastive learning for semi-supervised semantic segmentation in remote sensing images,

Reference 8

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Observation fa509860-f3f0-4e67-ac84-2d5a06c90c7d · outbound

This paper cites Decouple and weight semi- supervised semantic segmentation of remote sensing images,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Decouple and weight semi- supervised semantic segmentation of remote sensing images,

Reference 9

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This paper cites Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,

Reference 10

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This paper cites Fixmatch: Simplifying semi- supervised learning with consistency and confidence,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Fixmatch: Simplifying semi- supervised learning with consistency and confidence,

Reference 11

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This paper cites Allspark: Reborn labeled features from unlabeled in transformer for semi-supervised semantic segmenta- tion,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Allspark: Reborn labeled features from unlabeled in transformer for semi-supervised semantic segmenta- tion,

Reference 12

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This paper cites A Survey on Semi-Supervised Semantic Segmentation.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention A Survey on Semi-Supervised Semantic Segmentation

Reference 13

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This paper cites Pseudo features-guided self-training for domain adaptive semantic segmentation of satellite images,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Pseudo features-guided self-training for domain adaptive semantic segmentation of satellite images,

Reference 14

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Observation 95d44dcc-77b6-48aa-9e6a-934753d0fd3d · outbound

This paper cites Dynamic and adaptive self-training for semi-supervised remote sensing image semantic segmentation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Dynamic and adaptive self-training for semi-supervised remote sensing image semantic segmentation,

Reference 15

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Observation ec54c67a-270f-4b6f-9faa-c73b532a330a · outbound

This paper cites Poly kernel inception network for remote sensing detection,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Poly kernel inception network for remote sensing detection,

Reference 16

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Observation 3d0cf3a7-b2b7-4d95-9eda-a3099e53e415 · outbound

This paper cites Artificial intelligence for remote sensing data analysis: A review of challenges and opportunities,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Artificial intelligence for remote sensing data analysis: A review of challenges and opportunities,

Reference 17

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This paper cites Revisiting weak- to-strong consistency in semi-supervised semantic segmentation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Revisiting weak- to-strong consistency in semi-supervised semantic segmentation,

Reference 18

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This paper cites Desformer: A dual-branch encoding strategy for semantic segmentation of very-high-resolution remote sensing images based on feature interaction and multi-scale context fusion,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Desformer: A dual-branch encoding strategy for semantic segmentation of very-high-resolution remote sensing images based on feature interaction and multi-scale context fusion,

Reference 19

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

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Multiscale prototype contrast network for high-resolution aerial imagery semantic segmentation,

Reference 20

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This paper cites Semantic segmentation with attention mechanism for remote sensing images,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Semantic segmentation with attention mechanism for remote sensing images,

Reference 21

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This paper cites Gaussian dynamic convolution for efficient single-image segmentation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Gaussian dynamic convolution for efficient single-image segmentation,

Reference 22

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This paper cites Rethinking the upsampling layer in hyperspectral image super resolution,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Rethinking the upsampling layer in hyperspectral image super resolution,

Reference 23

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This paper cites Adaptive morphology filter: A lightweight module for deep hyperspectral image classification,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Adaptive morphology filter: A lightweight module for deep hyperspectral image classification,

Reference 24

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This paper cites Earthnets: Em- powering artificial intelligence for earth observation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Earthnets: Em- powering artificial intelligence for earth observation,

Reference 25

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This paper cites Vision-language models in remote sensing: Current progress and future trends,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Vision-language models in remote sensing: Current progress and future trends,

Reference 26

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This paper cites Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks,

Reference 27

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This paper cites Sam enhanced semantic segmentation for remote sensing imagery without additional training,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Sam enhanced semantic segmentation for remote sensing imagery without additional training,

Reference 28

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This paper cites A dual spatial-graph refinement network for building extraction from aerial images,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention A dual spatial-graph refinement network for building extraction from aerial images,

Reference 29

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This paper cites Eca-mobilenetv3 (large)+ segnet model for binary sugarcane classification of remotely sensed images,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Eca-mobilenetv3 (large)+ segnet model for binary sugarcane classification of remotely sensed images,

Reference 30

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This paper cites Uiu-net: U-net in u-net for infrared small object detection,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Uiu-net: U-net in u-net for infrared small object detection,

Reference 31

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This paper cites Hunting sparsity: Density- guided contrastive learning for semi-supervised semantic segmentation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Hunting sparsity: Density- guided contrastive learning for semi-supervised semantic segmentation,

Reference 32

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This paper cites Handling image and label resolution mismatch in remote sensing,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Handling image and label resolution mismatch in remote sensing,

Reference 33

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This paper cites Building extraction from remote sensing images with dog as prior constraint,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Building extraction from remote sensing images with dog as prior constraint,

Reference 34

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This paper cites Progressive recurrent neural network for multispectral remote sensing image destriping,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Progressive recurrent neural network for multispectral remote sensing image destriping,

Reference 35

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This paper cites Nt-net: A semantic segmentation network for extracting lake water bodies from optical remote sensing images based on transformer,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Nt-net: A semantic segmentation network for extracting lake water bodies from optical remote sensing images based on transformer,

Reference 36

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This paper cites Learning from future: A novel self-training framework for semantic segmentation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Learning from future: A novel self-training framework for semantic segmentation,

Reference 37

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This paper cites A three-stage self-training framework for semi-supervised semantic segmentation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention A three-stage self-training framework for semi-supervised semantic segmentation,

Reference 38

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This paper cites A simple baseline for semi-supervised semantic segmentation with strong data augmentation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention A simple baseline for semi-supervised semantic segmentation with strong data augmentation,

Reference 39

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This paper cites Semi-supervised semantic segmentation via gentle teaching assistant,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Semi-supervised semantic segmentation via gentle teaching assistant,

Reference 40

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This paper cites Semi-supervised semantic segmentation using unreliable pseudo- labels,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Semi-supervised semantic segmentation using unreliable pseudo- labels,

Reference 41

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This paper cites Classmix: Segmentation-based data augmentation for semi-supervised learning,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Classmix: Segmentation-based data augmentation for semi-supervised learning,

Reference 42

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This paper cites Semi-supervised semantic segmen- tation with cross-consistency training,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Semi-supervised semantic segmen- tation with cross-consistency training,

Reference 43

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This paper cites Semi-supervised semantic segmentation with cross pseudo supervision,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Semi-supervised semantic segmentation with cross pseudo supervision,

Reference 44

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This paper cites Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples,

Reference 45

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This paper cites Stcrnet: A semi-supervised network based on self-training and consistency regularization for change detec- tion in vhr remote sensing images,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Stcrnet: A semi-supervised network based on self-training and consistency regularization for change detec- tion in vhr remote sensing images,

Reference 46

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Observation 5f9b60c3-2de0-4c3b-9961-0c361f10f6bc · outbound

This paper cites Consistency regularization based on masked image modeling for semi-supervised remote sensing semantic segmentation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Consistency regularization based on masked image modeling for semi-supervised remote sensing semantic segmentation,

Reference 47

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This paper cites Tsg-seg: Temporal-selective guidance for semi-supervised semantic segmentation of 3d lidar point clouds,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Tsg-seg: Temporal-selective guidance for semi-supervised semantic segmentation of 3d lidar point clouds,

Reference 48

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Observation 16c0be21-9e8c-4a14-95e1-21ae2f30d0cd · outbound

This paper cites Simple and efficient: A semisupervised learning framework for remote sensing image semantic segmentation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Simple and efficient: A semisupervised learning framework for remote sensing image semantic segmentation,

Reference 49

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Observation 4a670123-4d20-44d8-89e0-1330d62aa891 · outbound

This paper cites Semisupervised semantic segmen- tation of remote sensing images with consistency self-training,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Semisupervised semantic segmen- tation of remote sensing images with consistency self-training,

Reference 50

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This paper cites DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery

Reference 51

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This paper cites Mcmcnet: A semi- supervised road extraction network for high-resolution remote sensing images via multiple consistency and multi-task constraints,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Mcmcnet: A semi- supervised road extraction network for high-resolution remote sensing images via multiple consistency and multi-task constraints,

Reference 52

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This paper cites Semiroadexnet: A semi- supervised network for road extraction from remote sensing imagery via adversarial learning,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Semiroadexnet: A semi- supervised network for road extraction from remote sensing imagery via adversarial learning,

Reference 53

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This paper cites A multi- level label-aware semi-supervised framework for remote sensing scene classification,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention A multi- level label-aware semi-supervised framework for remote sensing scene classification,

Reference 54

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This paper cites Mdmasnet: A dual-task interactive semi-supervised remote sensing image segmentation method,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Mdmasnet: A dual-task interactive semi-supervised remote sensing image segmentation method,

Reference 55

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This paper cites Semi-supervised bidirectional alignment for remote sensing cross-domain scene classifi- cation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Semi-supervised bidirectional alignment for remote sensing cross-domain scene classifi- cation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:06:54.218934Z

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Observation e524a3d7-5413-4005-b9c7-bf1456daf094 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 57

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This paper cites Temporal ensembling for semi-supervised learn- ing,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Temporal ensembling for semi-supervised learn- ing,

Reference 58

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This paper cites Semi-supervised learning (chapelle, o. et al., eds.; 2006)[book reviews],.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Semi-supervised learning (chapelle, o. et al., eds.; 2006)[book reviews],

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:06:54.195057Z

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Observation f613deb9-925e-4c9a-8e2d-4f7dffbd3134 · outbound

This paper cites Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation,

Reference 60

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This paper cites ISPRS Potsdam Dataset,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention ISPRS Potsdam Dataset,

Reference 61

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Observation b8d5dc51-585b-4814-b4f5-ea57987d42b2 · outbound

This paper cites Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,.

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,

Reference 62

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