Compressed convolutional neural networks for sewer inspection

An Experimental Assessment of the Stability of Graph Contrastive Learning

Scale Learning in Scale-Equivariant Convolutional networks

Meta-learning for few-shot on-chip sequence classification

Data-efficient resolution transfer with Continuous Kernel Convolutional Neural Networks

Augment it Maybe?: Improving Deep Vision Models with Adversarial Scene Text Augmentation

A study of the impact of CNN architecture variation on predicting brain activity using feature-weighted receptive fields

Deep learning approaches to short term traffic forecasting: Capturing the spatial temporal relation in historic traffic data

Spatio-temporal embedding in deep learning for algal bloom forecasting

Automated monitoring of corrosion on piling sheets: a model test to understand the possibilities for asset managers

Methodologies for deep learning SCA: An analysis on the design and construction of convolutional neural networks for side-channel datasets

Radio Frequency Fingerprinting for Aircraft Identification

Hybrid Semantic Mapping for Autonomous Off-Road Driving

The impact of spatial resolution and satellite data type characteristics on Automated Damage Assessment using a Convolutional Neural Network

Autonomous Navigation around Asteroids using Convolutional Neural Networks

Semantic Segmentation using Deep Neural Networks for MAVs

A Hybrid Spatial-temporal Sequence-to-one Neural Network Model for Lane Detection

Infrared thermal defect identification and reconstruction of artworks using a spatiotemporal deep neural network

Neural network framework using emerging technologies for screening Diabetic Retinopathy

VideoMuscle: Estimating human musculoskeletal model using neural networks from monocular video