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1706.05587
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Rethinking Atrous Convolution for Semantic Image Segmentation
17 June 2017
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
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Papers citing
"Rethinking Atrous Convolution for Semantic Image Segmentation"
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Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report
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Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS
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Pixel-Wise Contrastive Distillation
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RGB-T Semantic Segmentation with Location, Activation, and Sharpening
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Boosting vision transformers for image retrieval
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Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology
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Fabian Horst
C. Seibold
J. Keyl
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Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos
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46
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U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Prediction
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20
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Umberto Michieli
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5
0
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16
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NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation
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Semi-Supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels
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Inharmonious Region Localization by Magnifying Domain Discrepancy
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Dynamic Graph Message Passing Networks for Visual Recognition
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A comprehensive survey on recent deep learning-based methods applied to surgical data
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Semantic Segmentation in Learned Compressed Domain
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J. Katto
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Semi-Supervised Semantic Segmentation with Cross Teacher Training
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Hybrid Gromov-Wasserstein Embedding for Capsule Learning
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