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    <title>Recent &amp; Upcoming Talks | Pierre Le Jeune</title>
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      <title>Recent &amp; Upcoming Talks</title>
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      <title>Improving Few-Shot Object Detection through a Performance Analysis on Aerial and Natural Images</title>
      <link>https://pierlj.github.io/talk/improving-few-shot-object-detection-through-a-performance-analysis-on-aerial-and-natural-images/</link>
      <pubDate>Fri, 02 Sep 2022 11:00:00 +0100</pubDate>
      <guid>https://pierlj.github.io/talk/improving-few-shot-object-detection-through-a-performance-analysis-on-aerial-and-natural-images/</guid>
      <description>&lt;p&gt;Presentation for the paper Improving Few-Shot Object Detection through a
Performance Analysis on Aerial and Natural Images presented at EUSIPCO 2022 in
Belgrade. For more detail see related publication.&lt;/p&gt;
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      <title>Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images</title>
      <link>https://pierlj.github.io/talk/experience-feedback-using-representation-learning-for-few-shot-object-detection-on-aerial-images/</link>
      <pubDate>Mon, 13 Dec 2021 23:45:00 +0100</pubDate>
      <guid>https://pierlj.github.io/talk/experience-feedback-using-representation-learning-for-few-shot-object-detection-on-aerial-images/</guid>
      <description>&lt;p&gt;Presentation for the paper Experience feedback using Representation Learning for
Few-Shot Object Detection on Aerial Images accepted at ICMLA 2021. For more
detail see related publication.&lt;/p&gt;
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      <title>Prototypical Faster R-CNN for Few-Shot Object Detection on Aerial Images</title>
      <link>https://pierlj.github.io/talk/prototypical-faster-r-cnn-for-few-shot-object-detection-on-aerial-images/</link>
      <pubDate>Thu, 29 Jul 2021 08:15:00 +0200</pubDate>
      <guid>https://pierlj.github.io/talk/prototypical-faster-r-cnn-for-few-shot-object-detection-on-aerial-images/</guid>
      <description>&lt;p&gt;A 5-minutes speech at DeepLearn Summer School 2021 in Gran Canaria. I presented some of my work about few-shot object detection and the challenges about this very specific task.&lt;/p&gt;
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