Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Trademark retrieval (TR) has become an important yet challenging problem due to an ever increasing trend in trademark applications and infringement incidents. There have been many promising attempts for the TR problem, which, hover, fell impracticable since they re evaluated with limited and mostly trivial datasets. ,  provide a large-scale dataset with benchmark queries with which different TR approaches can be evaluated systematically. Moreover,  provide a baseline on this benchmark using the widely-used methods applied to TR in the literature. Furthermore,  identify and correct two important issues in TR approaches that re not addressed before: reversal of contrast, and presence of irrelevant text in trademarks severely affect the TR methods. Lastly,  applied deep learning, namely, several popular Convolutional Neural Network models, to the TR problem. To the best of the authors, this is the first attempt to do so.
['Osman Tursun', 'Cemal Aker', 'Sinan Kalkan']
I am writing a research paper on a idea A Large-scale Dataset and Benchmark for Similar Trademark Retrieval
[{"from": "human", "value": "I am writing a research paper on a idea A Large-scale Dataset and Benchmark for Similar Trademark Retrieval"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Trademark retrieval (TR) has become an important yet challenging problem due to an ever increasing trend in trademark applications and infringement incidents. There have been many promising attempts for the TR problem, which, hover, fell impracticable since they re evaluated with limited and mostly trivial datasets. ,  provide a large-scale dataset with benchmark queries with which different TR approaches can be evaluated systematically. Moreover,  provide a baseline on this benchmark using the widely-used methods applied to TR in the literature. Furthermore,  identify and correct two important issues in TR approaches that re not addressed before: reversal of contrast, and presence of irrelevant text in trademarks severely affect the TR methods. Lastly,  applied deep learning, namely, several popular Convolutional Neural Network models, to the TR problem. To the best of the authors, this is the first attempt to do so."}]