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Automatic image captioning has received increasing attention in recent years. Although there are many English datasets developed for this problem, there is only one Turkish dataset and it is very small compared to its English counterparts. Creating a new dataset for image captioning is a very costly and time consuming task. This work is a first step towards transferring the available, large English...
Image retrieval methods mainly depend on image tags. Nonetheless, images are uploaded to WEB with noisy image tags or not a single tag at all. On the other hand, generating tags for every image on the WEB is a time consuming job. In this paper, we present a novel method to improve image retrieval problem using additional text corpora which resides in WEB. Proposed method works in two modes, each of...
In this work, we study the task of recognizing human actions from noisy videos and effects of noise to recognition performance and propose a possible solution. Datasets available in computer vision literature are relatively small and could include noise due to labeling source. For new and relatively big datasets, noise amount would possible increase and the performance of traditional instance based...
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