Institute for Communications Technology, Technische Universität Braunschweig

SGDepth

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

CIL_Segmentation

[ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels

Components-Loss

Components loss for neural networks in mask-based speech enhancement

Enhancement-Coded-Speech

Perceptual-Weighting-Filter-Loss

A perceptual weighting filter loss for DNN training in speech enhancement

UBNA

AmodalCityscapes

IFN_Dataloader

bibliography

Group bibliography

revt-domain-generalization

Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation

CBNA

LocalizationLabelNoise

OHMQ

One-Hot Max Quantization

PerfPredRec

This repository serves for reproducing the results of the paper "Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder"

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.

vatrack

AdvAttackDet

GIAnT

A Group Interaction Annotation Tool

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"

TUBSRobustCheck

PESQDNN

relaxedAttention

fairseq-code extension for relaxed attention

Cross_Language_Transfer_Learning_AVASR

espresso

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

Lipreading-RDrop-RA

SuperResolutionMultiscaleTraining

Code for Super-Resolution Multiscale Training