ColMix -- A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial Images

no code implementations • 22 May 2023 • Cuong Ly, Grayson Jorgenson, Dan Rosa de Jesus, Henry Kvinge, Adam Attarian, Yijing Watkins

In this work, we present a novel augmentation method, called collage pasting, for increasing the object density without a need for segmentation masks, thereby improving the detector performance.

Data Augmentation Object

Reward-Free Attacks in Multi-Agent Reinforcement Learning

no code implementations • 2 Dec 2021 • Ted Fujimoto, Timothy Doster, Adam Attarian, Jill Brandenberger, Nathan Hodas

We investigate how effective an attacker can be when it only learns from its victim's actions, without access to the victim's reward.

Multi-agent Reinforcement Learning reinforcement-learning +1