Search Results for author:
Found 5 papers, 2 papers with code
RaceLens: A Machine Intelligence-Based Application for Racing Photo Analysis
This paper presents RaceLens, a novel application utilizing advanced deep learning and computer vision models for comprehensive analysis of racing photos.
SoccerNet 2022 Challenges Results
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning
We propose and investigate the use of methods from the family of Simultaneous Perturbation Stochastic Approximation (SPSA) for optimization of meta-train tasks weights.
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
In this paper, we suggest to consider the new multi-task loss function and propose the SPSA-like few-shot learning approach based on the prototypical networks method.
Large Scale Landmark Recognition via Deep Metric Learning
We provide an in-depth description of basic components of our method like neural network architecture, the learning strategy, and the features of our metric learning approach.
