81 citations · 122 across the 9 of their papers we have counts for
4 papers · 1 filter
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods
Skanda Koppula, Yazhe Li, Evan Shelhamer +5
Self-supervised methods have achieved remarkable success in transfer learning, often achieving the same or better accuracy than supervised pre-training. Most prior work has done so…
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac +3
Self-supervised pretraining has been shown to yield powerful representations for transfer learning. These performance gains come at a large computational cost however, with state-o…
Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical Solutions
Kieran Strobel, Sibo Zhu, Raphael Chang +1
Autonomous racing provides the opportunity to test safety-critical perception pipelines at their limit. This paper describes the practical challenges and solutions to applying stat…
Learning a CNN-based End-to-End Controller for a Formula SAE Racecar
Skanda Koppula
We present a set of CNN-based end-to-end models for controls of a Formula SAE racecar, along with various benchmarking and visualization tools to understand model performance. We t…