Deep networks for behavioral variant frontotemporal dementia identification from multiple acquisition sources | 0 | 0.34 | 2022 |
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection | 0 | 0.34 | 2022 |
Learning to count biological structures with raters’ uncertainty | 0 | 0.34 | 2022 |
Deep Features for CBIR with Scarce Data using Hebbian Learning. | 0 | 0.34 | 2022 |
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval. | 0 | 0.34 | 2022 |
An embedded toolset for human activity monitoring in critical environments | 1 | 0.36 | 2022 |
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level. | 0 | 0.34 | 2022 |
Recurrent Vision Transformer for Solving Visual Reasoning Problems | 0 | 0.34 | 2022 |
VISIONE at Video Browser Showdown 2022 | 0 | 0.34 | 2021 |
Hebbian semi-supervised learning in a sample efficiency setting | 1 | 0.41 | 2021 |
AIMH at SemEval-2021 Task 6 - Multimodal Classification Using an Ensemble of Transformer Models. | 0 | 0.34 | 2021 |
A Service Architecture for an Enhanced Cyber Threat Intelligence Capability. | 0 | 0.34 | 2021 |
Detection of Face Recognition Adversarial Attacks | 2 | 0.36 | 2021 |
Assessing Pattern Recognition Performance Of Neuronal Cultures Through Accurate Simulation | 0 | 0.34 | 2021 |
Traffic Density Estimation via Unsupervised Domain Adaptation (Discussion Paper). | 0 | 0.34 | 2021 |
A Multi-resolution Training for Expression Recognition in the Wild (Discussion Paper). | 0 | 0.34 | 2021 |
Cross-Resolution Learning for Face Recognition | 4 | 0.45 | 2020 |
Combining Gans And Autoencoders For Efficient Anomaly Detection | 0 | 0.34 | 2020 |
Defending Neural ODE Image Classifiers from Adversarial Attacks with Tolerance Randomization. | 0 | 0.34 | 2020 |
Virtual to Real Adaptation of Pedestrian Detectors. | 2 | 0.41 | 2020 |
Transformer Reasoning Network For Image-Text Matching And Retrieval | 0 | 0.34 | 2020 |
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation | 0 | 0.34 | 2020 |
Re-Implementing And Extending Relation Network For R-Cbir | 0 | 0.34 | 2020 |
Continuous ODE-defined Image Features for Adaptive Retrieval | 0 | 0.34 | 2020 |
Cross-Resolution Face Recognition Adversarial Attacks | 2 | 0.35 | 2020 |
Edge-Based Video Surveillance with Embedded Devices. | 0 | 0.34 | 2020 |
kNN-guided Adversarial Attacks. | 0 | 0.34 | 2020 |
Detecting Adversarial Inputs by Looking in the Black Box. | 0 | 0.34 | 2019 |
Distributed Video Surveillance Using Smart Cameras | 2 | 0.44 | 2019 |
Face Verification and Recognition for Digital Forensics and Information Security | 0 | 0.34 | 2019 |
Counting Vehicles with Deep Learning in Onboard UAV Imagery | 2 | 0.36 | 2019 |
Evaluation Of Continuous Image Features Learned By Ode Nets | 0 | 0.34 | 2019 |
CNN-based System for Low Resolution Face Recognition. | 0 | 0.34 | 2019 |
Improving Multi-scale Face Recognition Using VGGFace2. | 0 | 0.34 | 2019 |
Hebbian Learning Meets Deep Convolutional Neural Networks | 0 | 0.34 | 2019 |
On the Robustness to Adversarial Examples of Neural ODE Image Classifiers | 0 | 0.34 | 2019 |
VISIONE at VBS2019. | 0 | 0.34 | 2019 |
A Wireless Smart Camera Network for Parking Monitoring. | 0 | 0.34 | 2018 |
Aggregating Binary Local Descriptors for Image Retrieval. | 0 | 0.34 | 2018 |
Deep Learning Techniques for Visual Food Recognition on a Mobile App. | 0 | 0.34 | 2018 |
Towards Multimodal Surveillance for Smart Building Security. | 1 | 0.37 | 2017 |
Efficient Indexing of Regional Maximum Activations of Convolutions using Full-Text Search Engines. | 1 | 0.36 | 2017 |
Deep learning for decentralized parking lot occupancy detection. | 20 | 0.85 | 2017 |
Large Scale Indexing and Searching Deep Convolutional Neural Network Features. | 6 | 0.48 | 2016 |
Visual Recognition of Ancient Inscriptions Using Convolutional Neural Network and Fisher Vector. | 2 | 0.36 | 2016 |
Combining Fisher Vector and Convolutional Neural Networks for Image Retrieval. | 0 | 0.34 | 2016 |
Car Parking Occupancy Detection Using Smart Camera Networks And Deep Learning | 4 | 0.49 | 2016 |
Deep Permutations: Deep Convolutional Neural Networks and Permutation-Based Indexing. | 2 | 0.39 | 2016 |
Indexing 100M Images with Deep Features and MI-File. | 0 | 0.34 | 2016 |
YFCC100M-HNfc6: A Large-Scale Deep Features Benchmark for Similarity Search. | 1 | 0.35 | 2016 |