5 papers
EREBUS: End-to-end Robust Event Based Underwater Simulation
Hitesh Kyatham, Arjun Suresh, Aadi Palnitkar +1
The underwater domain presents a vast array of challenges for roboticists and computer vision researchers alike, such as poor lighting conditions and high dynamic range scenes. In…
Safer in Translation? Presupposition Robustness in Indic Languages
Aadi Palnitkar, Arjun Suresh, Rishi Rajesh +1
Increasingly, more and more people are turning to large language models (LLMs) for healthcare advice and consultation, making it important to gauge the efficacy and accuracy of the…
Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
Yihong Feng, Chaitanya Pallerla, Xiaomin Lin +5
The poultry industry has been driven by broiler chicken production and has grown into the world's largest animal protein sector. Automated detection of chicken carcasses on process…
Is AI currently capable of identifying wild oysters? A comparison of human annotators against the AI model, ODYSSEE
Brendan Campbell, Alan Williams, Kleio Baxevani +11
Oysters are ecologically and commercially important species that require frequent monitoring to track population demographics (e.g. abundance, growth, mortality). Current methods o…
ODYSSEE: Oyster Detection Yielded by Sensor Systems on Edge Electronics
Xiaomin Lin, Vivek Mange, Arjun Suresh +11
Oysters are a vital keystone species in coastal ecosystems, providing significant economic, environmental, and cultural benefits. As the importance of oysters grows, so does the re…