research
∙
10/12/2022
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
Advances in computing have enabled widespread access to pose estimation,...
share
research
∙
08/27/2022
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation
In this work, we propose CLUDA, a simple, yet novel method for performin...
research
∙
04/19/2021
A Mathematical Analysis of Learning Loss for Active Learning in Regression
Active learning continues to remain significant in the industry since it...
research
∙
09/17/2019
ProtoGAN: Towards Few Shot Learning for Action Recognition
Few-shot learning (FSL) for action recognition is a challenging task of ...
research
∙
04/18/2019
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Generalized zero-shot action recognition is a challenging problem, where...
research
∙
11/01/2018
An Improved Learning Framework for Covariant Local Feature Detection
Learning feature detection has been largely an unexplored area when comp...
research
∙
01/04/2018
A Large Dataset for Improving Patch Matching
We propose a new dataset for learning local image descriptors which can ...
research
∙
01/24/2017
