Computer Vision

The Computer Vision section focuses on the algorithms and architectures that allow machines to interpret the visual world. We discuss the transition from classical CNNs to modern Vision Transformers (ViTs), exploring applications in image classification, object detection, and spatial reasoning. This space is designed for researchers building the visual brains for autonomous vehicles, medical imaging tools, and real-time surveillance systems. Share your insights on depth estimation, optical flow, and the integration of visual sensors with the ArborNet core.