5 citations · 8 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
LOVM: Language-Only Vision Model Selection
Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang +1
Pre-trained multi-modal vision-language models (VLMs) are becoming increasingly popular due to their exceptional performance on downstream vision applications, particularly in the…
PROB: Probabilistic Objectness for Open World Object Detection
Orr Zohar, Kuan-Chieh Wang, Serena Yeung
Open World Object Detection (OWOD) is a new and challenging computer vision task that bridges the gap between classic object detection (OD) benchmarks and object detection in the r…