research
∙
03/30/2021
Active Learning for Deep Object Detection via Probabilistic Modeling
Active learning aims to reduce labeling costs by selecting only the most...
share
research
∙
04/09/2020
Scalable Active Learning for Object Detection
Deep Neural Networks trained in a fully supervised fashion are the domin...
research
∙
05/29/2019
Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling
Deep Neural Networks (DNNs) often rely on very large datasets for traini...
research
∙
01/16/2013
Indoor Semantic Segmentation using depth information
This work addresses multi-class segmentation of indoor scenes with RGB-D...
research
∙
01/13/2013
Clustering Learning for Robotic Vision
We present the clustering learning technique applied to multi-layer feed...
research
∙
01/08/2013
Causal graph-based video segmentation
Numerous approaches in image processing and computer vision are making u...
research
∙
02/10/2012
