Active Object Localization

2 papers with code • 0 benchmarks • 0 datasets

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Latest papers with no code

Leveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos

no code yet • 16 Aug 2023

Compared to existing video modeling architectures for action anticipation, NAOGAT captures the relationship between objects and the global scene context in order to predict detections for the next active object and anticipate relevant future actions given these detections, leveraging the objects' dynamics to improve accuracy.

Gaussian Processes with Context-Supported Priors for Active Object Localization

no code yet • 25 Mar 2017

Next, we use a Gaussian Process to model this offset response signal over the search space of the target.

Collaborative Deep Reinforcement Learning for Joint Object Search

no code yet • CVPR 2017

We examine the problem of joint top-down active search of multiple objects under interaction, e. g., person riding a bicycle, cups held by the table, etc..

Fast On-Line Kernel Density Estimation for Active Object Localization

no code yet • 16 Nov 2016

In our system, prior situation knowledge is captured by a set of flexible, kernel-based density estimations---a situation model---that represent the expected spatial structure of the given situation.

Active Object Localization in Visual Situations

no code yet • 2 Jul 2016

We compare the results with several baselines and variations on our method, and demonstrate the strong benefit of using situation knowledge and active context-driven localization.