Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In many cases, the predictive por of structured models for for complex vision tasks is limited by a trade-off beten the expressiveness and the computational tractability of the model. Hover, choosing this trade-off statically a priori is sub optimal, as images and videos in different settings vary tremendously in complexity. On the other hand, choosing the trade-off dynamically requires knowledge about the accuracy of different structured models on any given example. In this work,  propose a novel two-tier architecture that provides dynamic speed/accuracy trade-offs through a simple type of introspection. Our approach, which  call dynamic structured model selection (DMS), leverages typically intractable features in structured learning problems in order to automatically determine' which of several models should be used at test-time in order to maximize accuracy under a fixed budgetary constraint.  demonstrate DMS on two sequential modeling vision tasks, and  establish a new state-of-the-art in human pose estimation in video with an implementation that is roughly 23× faster than the previous standard implementation.
['David J. Weiss', 'Benjamin Sapp', 'Ben Taskar']
I am writing a research paper on a idea Dynamic Structured Model Selection
[{"from": "human", "value": "I am writing a research paper on a idea Dynamic Structured Model Selection"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In many cases, the predictive por of structured models for for complex vision tasks is limited by a trade-off beten the expressiveness and the computational tractability of the model. Hover, choosing this trade-off statically a priori is sub optimal, as images and videos in different settings vary tremendously in complexity. On the other hand, choosing the trade-off dynamically requires knowledge about the accuracy of different structured models on any given example. In this work,  propose a novel two-tier architecture that provides dynamic speed/accuracy trade-offs through a simple type of introspection. Our approach, which  call dynamic structured model selection (DMS), leverages typically intractable features in structured learning problems in order to automatically determine' which of several models should be used at test-time in order to maximize accuracy under a fixed budgetary constraint.  demonstrate DMS on two sequential modeling vision tasks, and  establish a new state-of-the-art in human pose estimation in video with an implementation that is roughly 23\u00d7 faster than the previous standard implementation."}]