文字認識の結果例（英語） 1 Introduction There has been a steady increase in the performance of object category detection as measured bythe annual PASCAL VOC challenges . The training data provided for these challenges specifies if an object is truncated » when the provided axis aligned bounding box does not cover the full extent of the object. The principal cause of truncation is that the object partially lies outside Lhe image area. Most participants simple disregard the truncated training instances and learn from the non-truncated ones. This is a waste of training material, but more seriously many truncated instances are missed in testing, signilicantly reducing the recall and hence decreasing overall recognition performance.