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Found 5 papers, 0 papers with code
Object-Level Targeted Selection via Deep Template Matching
Existing semantic image retrieval methods often focus on mining for larger sized geographical landmarks, and/or require extra labeled data, such as images/image-pairs with similar objects, for mining images with generic objects.
Scalable Active Learning for Object Detection
We have built a scalable production system for active learning in the domain of autonomous driving.
Continuous Pose Estimation With a Spatial Ensemble of Fisher Regressors
In this paper, we treat the problem of continuous pose estimation for object categories as a regression problem on the basis of only 2D training information.
Learning an Image-based Motion Context for Multiple People Tracking
We present a novel method for multiple people tracking that leverages a generalized model for capturing interactions among individuals.
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories
In this paper, we propose a method for learning a class representation that can return a continuous value for the pose of an unknown class instance using only 2D data and weak 3D labelling information.
