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Combining image-level and object-level inference for weakly supervised object recognition. Application to fisheries acoustics

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4 Author(s)
Lefort, R. ; STH, Ifremer, Plouzane, France ; Fablet, R. ; Karoui, I. ; Boucher, J.-M.

This paper addresses weakly supervised object recognition. We show how the combination of an image-level inference, in terms of image-level object class priors, can lead to better training of object recognition models. Stated within a probabilistic setting, the proposed approach is applied to fisheries acoustics and fish school recognition.

Published in:

Image Processing (ICIP), 2009 16th IEEE International Conference on

Date of Conference:

7-10 Nov. 2009