Stream Network

Stream networks, encompassing various data streams (e.g., image, audio, sensor data), are a core focus in modern machine learning, aiming to improve the accuracy and efficiency of diverse tasks. Current research heavily utilizes two-stream and multi-stream architectures, often incorporating attention mechanisms and transformer modules to effectively fuse information from different modalities, enhancing performance in areas like object detection, segmentation, and action recognition. These advancements have significant implications for applications ranging from autonomous driving and medical image analysis to human-computer interaction and deepfake detection, improving the robustness and accuracy of these systems.