6 papers · 1 filter
Agtech Framework for Cranberry-Ripening Analysis Using Vision Foundation Models
Faith Johnson, Ryan Meegan, Jack Lowry +2
Agricultural domains are being transformed by recent advances in AI and computer vision that support quantitative visual evaluation. Using aerial and ground imaging over a time ser…
Memory Proxy Maps for Visual Navigation
Faith Johnson, Bryan Bo Cao, Ashwin Ashok +2
Visual navigation takes inspiration from humans, who navigate in previously unseen environments using vision without detailed environment maps. Inspired by this, we introduce a nov…
Improvements to SDXL in NovelAI Diffusion V3
Juan Ossa, Eren Doğan, Alex Birch +1
In this technical report, we document the changes we made to SDXL in the process of training NovelAI Diffusion V3, our state of the art anime image generation model.
A Landmark-Aware Visual Navigation Dataset
Faith Johnson, Bryan Bo Cao, Kristin Dana +2
Map representations learned by expert demonstrations have shown promising research value. However, the field of visual navigation still faces challenges due to the lack of real-wor…
Feudal Networks for Visual Navigation
Faith Johnson, Bryan Bo Cao, Ashwin Ashok +2
Visual navigation follows the intuition that humans can navigate without detailed maps. A common approach is interactive exploration while building a topological graph with images…
Vision-Based Cranberry Crop Ripening Assessment
Faith Johnson, Jack Lowry, Kristin Dana +1
Agricultural domains are being transformed by recent advances in AI and computer vision that support quantitative visual evaluation. Using drone imaging, we develop a framework for…