Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: When building vision systems that predict structured objects such as image segmentations or human poses, a crucial concern is performance under task-specific evaluation measures (e.g., Jaccard Index or Average Precision). An ongoing research challenge is to optimize predictions so as to maximize performance on such complex measures. In this work,  present a simple meta-algorithm that is surprisingly effective –  Empirical Min Bayes Risk . EMBR takes as input a pre-trained model that would normally be the final product and learns three additional parameters so as to optimize performance on the complex instance-level high-order task-specific measure.  demonstrate EMBR in several domains, taking existing state-of-the-art algorithms and improving performance up to 8 percent, simply by learning three extra parameters. Our code is publicly available and the results presented in this paper can be replicated from our code-release.
['Vittal Premachandran', 'Daniel Tarlow', 'Alan L. Yuille', 'Dhruv Batra']
I am writing a research paper on a idea Empirical Minimum Bayes Risk Prediction
[{"from": "human", "value": "I am writing a research paper on a idea Empirical Minimum Bayes Risk Prediction"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: When building vision systems that predict structured objects such as image segmentations or human poses, a crucial concern is performance under task-specific evaluation measures (e.g., Jaccard Index or Average Precision). An ongoing research challenge is to optimize predictions so as to maximize performance on such complex measures. In this work,  present a simple meta-algorithm that is surprisingly effective \u2013  Empirical Min Bayes Risk . EMBR takes as input a pre-trained model that would normally be the final product and learns three additional parameters so as to optimize performance on the complex instance-level high-order task-specific measure.  demonstrate EMBR in several domains, taking existing state-of-the-art algorithms and improving performance up to 8 percent, simply by learning three extra parameters. Our code is publicly available and the results presented in this paper can be replicated from our code-release."}]