Self-supervised learning (SSL) has gained remarkable success, for which
...
Regular object detection methods output rectangle bounding boxes, which ...
Robust real-time perception of 3D world is essential to the autonomous
v...
Exponential Moving Average (EMA or momentum) is widely used in modern
se...
Model agnostic meta-learning (MAML) is a popular state-of-the-art
meta-l...
The recent growth in multi-fidelity uncertainty quantification has given...
This paper considers a network referred to as Modality Shifting Attentio...
This paper addresses the instance segmentation task in the open-set
cond...
Simultaneous Localization And Mapping (SLAM) is a fundamental problem in...
Detecting objects and their 6D poses from only RGB images is an importan...
Learning compact binary codes for image retrieval problem using deep neu...
Data augmentation is an essential part of the training process applied t...
This paper presents SceneCut, a novel approach to jointly discover previ...
Robotic challenges like the Amazon Picking Challenge (APC) or the DARPA
...