Institute for Communications Technology, Technische Universität Braunschweig's repositories
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
Perceptual-Weighting-Filter-Loss
A perceptual weighting filter loss for DNN training in speech enhancement
EC-Evaluation-Toolbox
Toolbox for Evaluation of AEC/AES Systems
revt-domain-generalization
Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation
bibliography
Group bibliography
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"
SuperResolutionMultiscaleTraining
Code for Super-Resolution Multiscale Training
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"
relaxedAttention
fairseq-code extension for relaxed attention
espresso
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
MicroscopyImageSR
Code for microscopy image super-resolution focusing on low-resolution-only training images.