IMORL: Incremental Multiple-Object Recognition and Localization
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Cites background from "IMORL: Incremental Multiple-Object ..."
...Online learning often operates in the scenario explained in [10] and further adopted in many works, such as [2], [7], [11], and [12]: Learning proceeds in a sequence of trials....
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References
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"IMORL: Incremental Multiple-Object ..." refers background or methods in this paper
...For instance, the SIFT feature represented by the local keypoints in an image can be used [11]–[14]....
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...Recently, the scale invariant feature transform (SIFT) has demonstrated great success for object recognition from static images [11], [12]....
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...Therefore, one can investigate different approaches for segmentation and feature representation, such as use of the SIFT approach [11], [12] in the preprocessing stage....
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"IMORL: Incremental Multiple-Object ..." refers background in this paper
...[28]–[30], we propose an incremental learning procedure....
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...to learn will carry higher weights compared to those examples that are easy to learn [28]–[30]....
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