Search Results - "Ochal, Mateusz"

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  1. 1

    Few-Shot Learning With Class Imbalance by Ochal, Mateusz, Patacchiola, Massimiliano, Vazquez, Jose, Storkey, Amos, Wang, Sen

    “…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
  2. 2

    EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits by Ochal, Mateusz, Patacchiola, Massimiliano, Boudiaf, Malik, Wang, Sen

    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
  3. 3

    Prediction-Guided Distillation for Dense Object Detection by Yang, Chenhongyi, Ochal, Mateusz, Storkey, Amos, Crowley, Elliot J

    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
  4. 4

    A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification by Ochal, Mateusz, Vazquez, Jose, Petillot, Yvan, Wang, Sen

    “…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
  5. 5

    How Sensitive are Meta-Learners to Dataset Imbalance? by Ochal, Mateusz, Patacchiola, Massimiliano, Storkey, Amos, Vazquez, Jose, Wang, Sen

    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
  6. 6

    Few-Shot Learning with Class Imbalance by Ochal, Mateusz, Patacchiola, Massimiliano, Storkey, Amos, Vazquez, Jose, Wang, Sen

    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
  7. 7

    Tendon Variations of the Flexor Digitorum Superficialis of the Little Finger in Cadaveric and Physical Examination Evaluations by Pękala, Jakub R., Zarzecki, Michał P., Pękala, Przemysław A., Ochał, Mateusz, Walocha, Jerzy A., Tomaszewski, Krzysztof A.

    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
  8. 8

    A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification by Ochal, Mateusz, Vazquez, Jose, Petillot, Yvan, Wang, Sen

    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…”
    Get full text
    Journal Article
  9. 9

    Defining Benchmarks for Continual Few-Shot Learning by Antoniou, Antreas, Patacchiola, Massimiliano, Ochal, Mateusz, Storkey, Amos

    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