Rex-Omni is a 3B-parameter Multimodal Large Language Model (MLLM) that redefines object detection and a wide range of other visual perception tasks as a simple next-token prediction problem.

Abstract: You-Only-Look-Once (YOLO) represents the state-of-the-art in object detection models. With the emergence of various applications utilizing small domain-specific datasets and limited ...

Abstract: Traffic sign detection is essential for autonomous driving and advanced driver assistance systems (ADASs). However, existing methods struggle to address the challenges of poor image quality ...