Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
نویسندگان
چکیده
منابع مشابه
Better and Faster Patient Training
اقامت هرچه کوتاهتر بیمار در بیمارستان، مستلزم آموزش مؤثر او و خانواده وی است
متن کاملLearning Intelligent Dialogs for Bounding Box Annotation
We introduce Intelligent Annotation Dialogs for bounding box annotation. We train an agent to automatically choose a sequence of actions for a human annotator to produce a bounding box in a minimal amount of time. Specifically, we consider two actions: box verification [34], where the annotator verifies a box generated by an object detector, and manual box drawing. We explore two kinds of agent...
متن کاملHarder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression
We consider the optimization of a quadratic objective function whose gradients are only accessible through a stochastic oracle that returns the gradient at any given point plus a zero-mean finite variance random error. We present the first algorithm that achieves jointly the optimal prediction error rates for least-squares regression, both in terms of forgetting the initial conditions in O(1/n)...
متن کاملFaster Rates in Regression via Active Learning
This paper presents a rigorous statistical analysis characterizing regimes in which active learning significantly outperforms classical passive learning. Active learning algorithms are able to make queries or select sample locations in an online fashion, depending on the results of the previous queries. In some regimes, this extra flexibility leads to significantly faster rates of error decay t...
متن کاملBounding box collision detection
In this paper we address the problem of intersection detection between pairs of bounding boxes in three-dimensional space. Our motivation for investigating this problem comes from the need for an efficient collision detection framework applicable in the context of large scale contact analysis. Not considering underlying physics of the mechanical contact problem we focus on purely geometrical se...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2020
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v34i07.6999