👉 VG (Visual Grounding) research focuses on developing algorithms that enable computers to understand and interpret visual scenes by linking visual information directly to real-world objects and their spatial relationships. This involves training deep learning models to recognize and localize objects within images, ensuring they are accurately associated with their corresponding 3D spatial locations in the physical world. VG aims to bridge the gap between image data and real-world understanding, enhancing applications like autonomous driving, robotics, and augmented reality by providing machines with a more robust and context-aware perception of their environment.
