2 papers
cs.CV2023
Open World Object Detection in the Era of Foundation Models
Orr Zohar, Alejandro Lozano, Shelly Goel +2
Object detection is integral to a bevy of real-world applications, from robotics to medical image analysis. To be used reliably in such applications, models must be capable of hand…
cs.LG2023
Generalizable Neural Fields as Partially Observed Neural Processes
Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung
Neural fields, which represent signals as a function parameterized by a neural network, are a promising alternative to traditional discrete vector or grid-based representations. Co…