Search Results for author: Bartosz Wójcik

Found 10 papers, 8 papers with code

Computer Vision based inspection on post-earthquake with UAV synthetic dataset

1 code implementation11 Oct 2022 Mateusz Żarski, Bartosz Wójcik, Jarosław A. Miszczak, Bartłomiej Blachowski, Mariusz Ostrowski

The area affected by the earthquake is vast and often difficult to entirely cover, and the earthquake itself is a sudden event that causes multiple defects simultaneously, that cannot be effectively traced using traditional, manual methods.

SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier

no code implementations28 Jun 2022 Bartosz Wójcik, Jacek Grela, Marek Śmieja, Krzysztof Misztal, Jacek Tabor

The proposed classifier is confident only if a single class has a high probability and other probabilities are negligible.

Continual Learning with Guarantees via Weight Interval Constraints

1 code implementation16 Jun 2022 Maciej Wołczyk, Karol J. Piczak, Bartosz Wójcik, Łukasz Pustelnik, Paweł Morawiecki, Jacek Tabor, Tomasz Trzciński, Przemysław Spurek

We introduce a new training paradigm that enforces interval constraints on neural network parameter space to control forgetting.

Continual Learning

Hard hat wearing detection based on head keypoint localization

1 code implementation21 Jun 2021 Bartosz Wójcik, Mateusz Żarski, Kamil Książek, Jarosław Adam Miszczak, Mirosław Jan Skibniewski

In recent years, a lot of attention is paid to deep learning methods in the context of vision-based construction site safety systems, especially regarding personal protective equipment.

object-detection Object Detection

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks

1 code implementation NeurIPS 2021 Maciej Wołczyk, Bartosz Wójcik, Klaudia Bałazy, Igor Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzciński

The problem of reducing processing time of large deep learning models is a fundamental challenge in many real-world applications.

Adversarial Examples Detection and Analysis with Layer-wise Autoencoders

no code implementations17 Jun 2020 Bartosz Wójcik, Paweł Morawiecki, Marek Śmieja, Tomasz Krzyżek, Przemysław Spurek, Jacek Tabor

We present a mechanism for detecting adversarial examples based on data representations taken from the hidden layers of the target network.

Finding the Optimal Network Depth in Classification Tasks

1 code implementation17 Apr 2020 Bartosz Wójcik, Maciej Wołczyk, Klaudia Bałazy, Jacek Tabor

We develop a fast end-to-end method for training lightweight neural networks using multiple classifier heads.

Classification General Classification

LOSSGRAD: automatic learning rate in gradient descent

1 code implementation20 Feb 2019 Bartosz Wójcik, Łukasz Maziarka, Jacek Tabor

In this paper, we propose a simple, fast and easy to implement algorithm LOSSGRAD (locally optimal step-size in gradient descent), which automatically modifies the step-size in gradient descent during neural networks training.

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