Search Results for author:
Found 4 papers, 3 papers with code
FOCAL: A Cost-Aware Video Dataset for Active Learning
In this paper, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning setting.
Gaussian Switch Sampling: A Second Order Approach to Active Learning
To alleviate this issue, we propose a grounded second-order definition of information content and sample importance within the context of active learning.
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
As a result, DEVIANT is equivariant to the depth translations in the projective manifold whereas vanilla networks are not.
3D Object Detection From Monocular Images
Monocular 3D Object Detection
Efficient data-driven encoding of scene motion using Eccentricity
This paper presents a novel approach of representing dynamic visual scenes with static maps generated from video/image streams.
