
-
Training Convolutional Neural Networks With Hebbian Principal Component Analysis
Recent work has shown that biologically plausible Hebbian learning can b...
read it
-
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation
Previous work has shown that it is possible to train neuronal cultures o...
read it
-
Combining GANs and AutoEncoders for Efficient Anomaly Detection
In this work, we propose CBiGAN – a novel method for anomaly detection i...
read it
-
Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders
Despite the evolution of deep-learning-based visual-textual processing s...
read it
-
The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval
In this paper, we describe VISIONE, a video search system that allows us...
read it
-
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation
Monitoring vehicle flow in cities is a crucial issue to improve the urba...
read it
-
Virtual to Real adaptation of Pedestrian Detectors for Smart Cities
Pedestrian detection through computer vision is a building block for a m...
read it
-
Using Apache Lucene to Search Vector of Locally Aggregated Descriptors
Surrogate Text Representation (STR) is a profitable solution to efficien...
read it
-
On Reducing the Number of Visual Words in the Bag-of-Features Representation
A new class of applications based on visual search engines are emerging,...
read it
-
Large Scale Deep Convolutional Neural Network Features Search with Lucene
In this work, we propose an approach to index Deep Convolutional Neural ...
read it