3 citations · 4 across the 3 of their papers we have counts for
5 papers · 1 filter
GoodPoint: unsupervised learning of keypoint detection and description
Anatoly Belikov, Alexey Potapov
This paper introduces a new algorithm for unsupervised learning of keypoint detectors and descriptors, which demonstrates fast convergence and good performance across different dat…
Distillation of neural network models for detection and description of key points of images
A. V. Yashchenko, A. V. Belikov, M. V. Peterson +1
Image matching and classification methods, as well as synchronous location and mapping, are widely used on embedded and mobile devices. Their most resource-intensive part is the de…
Improving Deep Models of Person Re-identification for Cross-Dataset Usage
Sergey Rodionov, Alexey Potapov, Hugo Latapie +2
Person re-identification (Re-ID) is the task of matching humans across cameras with non-overlapping views that has important applications in visual surveillance. Like other compute…
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning
Alexey Potapov, Sergey Rodionov, Hugo Latapie +1
Cross-dataset transfer learning is an important problem in person re-identification (Re-ID). Unfortunately, not too many deep transfer Re-ID models exist for realistic settings of…
Vision System for AGI: Problems and Directions
Alexey Potapov, Sergey Rodionov, Maxim Peterson +3
What frameworks and architectures are necessary to create a vision system for AGI? In this paper, we propose a formal model that states the task of perception within AGI. We show t…