Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation | Paper Citation Record

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This paper cites A review of uncertainty quantification in deep learning: Techniques, applications and challenges.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation A review of uncertainty quantification in deep learning: Techniques, applications and challenges

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This paper cites Uncertainty esti- mation based adversarial attack in multi-class classification.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Uncertainty esti- mation based adversarial attack in multi-class classification

Reference 2

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This paper cites Source-free domain adaptive fundus image seg- mentation with denoised pseudo-labeling.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Source-free domain adaptive fundus image seg- mentation with denoised pseudo-labeling

Reference 3

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This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 4

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

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Semi-supervised semantic segmentation with cross pseudo supervision

Reference 5

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This paper cites Uncertainty estimation in deep neu- ral networks for dermoscopic image classification.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Uncertainty estimation in deep neu- ral networks for dermoscopic image classification

Reference 6

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This paper cites The cityscapes dataset for semantic urban scene understanding.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation The cityscapes dataset for semantic urban scene understanding

Reference 7

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Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation The cityscapes dataset for semantic urban scene understanding

Reference 8

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This paper cites The pascal visual object classes challenge: A retrospective.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation The pascal visual object classes challenge: A retrospective

Reference 9

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This paper cites Camouflaged object detec- tion.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Camouflaged object detec- tion

Reference 10

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This paper cites Conservative-progressive collab- orative learning for semi-supervised semantic segmentation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Conservative-progressive collab- orative learning for semi-supervised semantic segmentation

Reference 11

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This paper cites Semi-supervised semantic segmen- tation needs strong, varied perturbations.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Semi-supervised semantic segmen- tation needs strong, varied perturbations

Reference 12

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This paper cites Your classifier is secretly an energy based model and you should treat it like one.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Your classifier is secretly an energy based model and you should treat it like one

Reference 13

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This paper cites Deep residual learning for image recognition.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Deep residual learning for image recognition

Reference 14

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This paper cites Semicvt: Semi-supervised convolutional vi- sion transformer for semantic segmentation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Semicvt: Semi-supervised convolutional vi- sion transformer for semantic segmentation

Reference 15

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This paper cites Adversarial Learning for Semi-Supervised Semantic Segmentation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Adversarial Learning for Semi-Supervised Semantic Segmentation

Reference 16

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This paper cites Data uncertainty guided noise-aware preprocessing of fingerprints.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Data uncertainty guided noise-aware preprocessing of fingerprints

Reference 17

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This paper cites Guided collaborative training for pixel-wise semi-supervised learning.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Guided collaborative training for pixel-wise semi-supervised learning

Reference 18

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This paper cites What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017

Reference 19

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This paper cites Pruning-guided curriculum learning for semi- supervised semantic segmentation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Pruning-guided curriculum learning for semi- supervised semantic segmentation

Reference 20

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This paper cites Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation

Reference 21

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This paper cites Kurmi, Venkatesh K.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Kurmi, Venkatesh K

Reference 22

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This paper cites An overview of mixing augmentation methods and augmentation strategies.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation An overview of mixing augmentation methods and augmentation strategies

Reference 23

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This paper cites Semantic segmentation with generative models: Semi-supervised learning and strong out-of-domain generalization.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Semantic segmentation with generative models: Semi-supervised learning and strong out-of-domain generalization

Reference 24

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This paper cites Semi-supervised semantic segmentation under label noise via diverse learning groups.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Semi-supervised semantic segmentation under label noise via diverse learning groups

Reference 25

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This paper cites Diverse Cotraining Makes Strong Semi-Supervised Segmentor.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Diverse Cotraining Makes Strong Semi-Supervised Segmentor

Reference 26

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This paper cites A general framework for uncertainty estimation in deep learn- ing.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation A general framework for uncertainty estimation in deep learn- ing

Reference 27

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This paper cites Uncertainty-aware pseudo-label and consistency for semi- supervised medical image segmentation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Uncertainty-aware pseudo-label and consistency for semi- supervised medical image segmentation

Reference 28

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This paper cites A survey on uncer- tainty estimation in deep learning classification systems from a bayesian perspective.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation A survey on uncer- tainty estimation in deep learning classification systems from a bayesian perspective

Reference 29

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This paper cites Image seg- mentation using deep learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence , 44(7):3523– 3542, 2022.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Image seg- mentation using deep learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence , 44(7):3523– 3542, 2022

Reference 30

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This paper cites Deep Deterministic Uncertainty: A Simple Baseline.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Deep Deterministic Uncertainty: A Simple Baseline

Reference 31

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Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Semi- supervised semantic segmentation with cross-consistency training

Reference 32

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This paper cites A survey on semi-supervised semantic segmentation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation A survey on semi-supervised semantic segmentation

Reference 33

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This paper cites Inconsistency- aware uncertainty estimation for semi-supervised medical image segmentation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Inconsistency- aware uncertainty estimation for semi-supervised medical image segmentation

Reference 34

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Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Inconsistency- aware uncertainty estimation for semi-supervised medical image segmentation

Reference 35

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Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Fixmatch: Simplifying semi-supervised learning with consistency and confidence

Reference 36

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This paper cites Mean teachers are bet- ter role models: Weight-averaged consistency targets im- prove semi-supervised deep learning results.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Mean teachers are bet- ter role models: Weight-averaged consistency targets im- prove semi-supervised deep learning results

Reference 37

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This paper cites Aleatoric un- certainty estimation with test-time augmentation for medi- cal image segmentation with convolutional neural networks.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Aleatoric un- certainty estimation with test-time augmentation for medi- cal image segmentation with convolutional neural networks

Reference 38

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This paper cites Allspark: Reborn labeled features from unlabeled in trans- former for semi-supervised semantic segmentation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Allspark: Reborn labeled features from unlabeled in trans- former for semi-supervised semantic segmentation

Reference 39

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

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Semi-supervised semantic segmentation using unreliable pseudo-labels

Reference 40

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

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Revisiting weak-to-strong consistency in semi-supervised semantic segmentation

Reference 41

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This paper cites Towards bridging the performance gaps of joint energy-based models.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Towards bridging the performance gaps of joint energy-based models

Reference 42

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This paper cites Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium segmentation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium segmentation

Reference 43

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This paper cites A survey of semi-and weakly supervised se- mantic segmentation of images.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation A survey of semi-and weakly supervised se- mantic segmentation of images

Reference 44

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This paper cites Joint energy-based models for semi-supervised classifica- tion.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Joint energy-based models for semi-supervised classifica- tion

Reference 45

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This paper cites S³mpl:semi-supervised semantic segmentation with mixed pseudo label.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation S³mpl:semi-supervised semantic segmentation with mixed pseudo label

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:00.587508Z

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This paper cites Pseudoseg: Designing pseudo labels for semantic segmentation.

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Pseudoseg: Designing pseudo labels for semantic segmentation

Reference 47

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