2 citations · 3 across the 6 of their papers we have counts for
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cs.CV2023
Object Detection in Aerial Images in Scarce Data Regimes
Pierre Le Jeune
Most contributions on Few-Shot Object Detection (FSOD) evaluate their methods on natural images only, yet the transferability of the announced performance is not guaranteed for app…
cs.CV2022★ 1 cited
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images
Pierre Le Jeune, Anissa Mokraoui
Few-Shot Object Detection (FSOD) methods are mainly designed and evaluated on natural image datasets such as Pascal VOC and MS COCO. However, it is not clear whether the best metho…
cs.CV2021
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images
Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui +1
This paper proposes a few-shot method based on Faster R-CNN and representation learning for object detection in aerial images. The two classification branches of Faster R-CNN are r…