← Search

Zachary Seymour

2 accepted papers

2022

Striking the Right Balance: Recall Loss for Semantic Segmentation

ICRA 2022poster

Class imbalance is a fundamental problem in computer vision applications such as semantic segmentation. Specifically, uneven class distributions in a training dataset often result in unsatisfactory performance on under-represented classes. Many works have proposed to weight the standard cross entrop…

Cited by 47SourcecodeScholar
2021

MaAST: Map Attention with Semantic Transformers for Efficient Visual Navigation

ICRA 2021poster

Visual navigation for autonomous agents is a core task in the fields of computer vision and robotics. Learning-based methods, such as deep reinforcement learning, have the potential to outperform the classical solutions developed for this task; however, they come at a significantly increased computa…

Cited by 24SourceScholar