Paper Database & Bibliography

SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy

Supervised autoencoders: Improving generalization performance with unsupervised regularizers

Deep Learning Meets SAR

Generating high quality visible images from SAR images using CNNs

Deep Learning for SAR Image Classification

SAR Image Classification Using Few-shot Cross-domain Transfer Learning

Road Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks

Robust SAR Automatic Target Recognition Based on Transferred MS-CNN with L2 -Regularization

Road Detection in Dense Urban Areas Using SAR Imagery and the Usefulness of Multiple Views

Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks

HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data

Large-scale Building Height Estimation from Single VHR SAR image Using Fully Convolutional Network and GIS building footprints

Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map

SpaceNet 6: Multi-Sensor All Weather Mapping Dataset

HQ-ISNet: High-Quality Instance Segmentation for Remote Sensing Imagery

Large-scale detection and categorization of oil spills from SAR images with deep learning

Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field

Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion

Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding

Training Small Networks for Scene Classification of Remote Sensing Images via Knowledge Distillation

CONTINUAL LEARNING FOR DENSE LABELING OF SATELLITE IMAGES

Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

BUILDING DISASTER DAMAGE ASSESSMENT IN SATELLITE IMAGERY WITH MULTI-TEMPORAL FUSION

Thermal Object Detection using Domain Adaptation through Style Consistency

Transferable feature representation for visible-to-infrared cross-dataset human action recognition

S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis

Domain Adaptation: Learning to Learn

Contrastive Adaptation Network for Unsupervised Domain Adaptation

Domain Adaptive Semantic Segmentation Using Weak Labels

Learning to Adapt Structured Output Space for Semantic Segmentation

A Comprehensive Survey on Transfer Learning

Modality Distillation with Multiple Stream Networks for Action Recognition

MTDNN: Multi-Task Deep Neural Networks for Natural Language Understanding

Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding

Knowledge Distillation for Multi-task Learning

Uncertainty-based loss function weighting for multi-task learning

MUNIT: Multimodal Unsupervised Image-to-Image Translation

DRIT: Diverse image-to-image translation via disentangled representations

MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

GDWCT

DSMAP: Domain-Specific Mappings for Generative Adversarial Style Transfer