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

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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

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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

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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

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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

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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

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

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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

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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

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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

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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

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This paper cites Kurmi, Venkatesh K.

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

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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

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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

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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

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

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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

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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

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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

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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

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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

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

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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

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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

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

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

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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