Search Results for author: Sébastien Lefevre

Found 3 papers, 2 papers with code

Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection

1 code implementation • 29 Sep 2020 • Heng Zhang, Elisa Fromont, Sébastien Lefevre, Bruno Avignon

Most deep learning object detectors are based on the anchor mechanism and resort to the Intersection over Union (IoU) between predefined anchor boxes and ground truth boxes to evaluate the matching quality between anchors and objects.

Ranked #9 on Object Detection on PASCAL VOC 2007

object-detection Object Detection

111

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Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks

1 code implementation • 26 Sep 2020 • Heng Zhang, Elisa Fromont, Sébastien Lefevre, Bruno Avignon

Multispectral images (e. g. visible and infrared) may be particularly useful when detecting objects with the same model in different environments (e. g. day/night outdoor scenes).

Ranked #2 on Multispectral Object Detection on KAIST Multispectral Pedestrian Detection Benchmark

Multispectral Object Detection Object +2

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Combining multiple resolutions into hierarchical representations for kernel-based image classification

no code implementations • 9 Jul 2016 • Yanwei Cui, Sébastien Lefevre, Laetitia Chapel, Anne Puissant

Such a representation allows one to benefit from the context information thanks to the coarser levels, and subregions spatial arrangement information thanks to the finer levels.

Classification General Classification +1

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