Search Results - "Ochal, Mateusz"
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Few-Shot Learning With Class Imbalance
Published in IEEE transactions on artificial intelligence (01-10-2023)“…Few-Shot Learning (FSL) algorithms are commonly trained through Meta-Learning (ML), which exposes models to batches of tasks sampled from a meta-dataset to…”
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Journal Article -
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EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits
Published 04-08-2024“…In Few-Shot Learning (FSL), models are trained to recognise unseen objects from a query set, given a few labelled examples from a support set. In standard FSL,…”
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Journal Article -
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Prediction-Guided Distillation for Dense Object Detection
Published 10-03-2022“…Real-world object detection models should be cheap and accurate. Knowledge distillation (KD) can boost the accuracy of a small, cheap detection model by…”
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Journal Article -
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A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification
Published in Global Oceans 2020: Singapore – U.S. Gulf Coast (05-10-2020)“…Deep convolutional neural networks generally perform well in underwater object recognition tasks on both optical and sonar images. Many such methods require…”
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Conference Proceeding -
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How Sensitive are Meta-Learners to Dataset Imbalance?
Published 12-04-2021“…Meta-Learning (ML) has proven to be a useful tool for training Few-Shot Learning (FSL) algorithms by exposure to batches of tasks sampled from a meta-dataset…”
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Journal Article -
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Few-Shot Learning with Class Imbalance
Published 07-01-2021“…Few-Shot Learning (FSL) algorithms are commonly trained through Meta-Learning (ML), which exposes models to batches of tasks sampled from a meta-dataset to…”
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Journal Article -
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Tendon Variations of the Flexor Digitorum Superficialis of the Little Finger in Cadaveric and Physical Examination Evaluations
Published in The FASEB journal (01-04-2019)“…Introduction Flexor digitorum superficialis (FDS) is located in the intermediate layer of the forearm muscles. Typically, it consists of four tendons that…”
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Journal Article -
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A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification
Published 10-05-2020“…Deep convolutional neural networks generally perform well in underwater object recognition tasks on both optical and sonar images. Many such methods require…”
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Journal Article -
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Defining Benchmarks for Continual Few-Shot Learning
Published 15-04-2020“…Both few-shot and continual learning have seen substantial progress in the last years due to the introduction of proper benchmarks. That being said, the field…”
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Journal Article