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SGDepth
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic GuidanceCIL_Segmentation
[ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsComponents-Loss
Components loss for neural networks in mask-based speech enhancementEnhancement-Coded-Speech
Perceptual-Weighting-Filter-Loss
A perceptual weighting filter loss for DNN training in speech enhancementUBNA
AmodalCityscapes
IFN_Dataloader
bibliography
Group bibliographyrevt-domain-generalization
Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic SegmentationCBNA
OHMQ
One-Hot Max QuantizationLocalizationLabelNoise
Two-Stage-Speech-Enhancement
Supplementary material for the paper "Speech Enhancement by LSTM-Based Noise Suppression Followed by CNN-Based Speech Restoration" by Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, and Tim Fingscheidt.PerfPredRec
This repository serves for reproducing the results of the paper "Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder"TUBSRobustCheck
AdvAttackDet
PerfPredRecV2
This repository serves for reproducing the results of the paper "Improvements to Image Reconstruction-Based Performance Prediction for Semantic Segmentation in Highly Automated Driving"vatrack
relaxedAttention
fairseq-code extension for relaxed attentionPESQDNN
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