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: Recently, digital images are the most important information carrier of data obtained from consumer devices, thus playing a vital role in various potential applications. Despite benefits of ...

Abstract: Currently, protecting personal privacy through selective encryption of facial images has become a research hotspot. This paper aims to design a new image encryption scheme using chaotic ...