In recent years, self-supervised learning (SSL) has made significant progress as a method for extracting useful features from images without requiring human-annotated labels. These approaches have enabled models to achieve strong performance on
Read More
Learning Content and Positional Features for Object Detection via Self-Supervision
Who Decides What Should Be Detected? Challenges in OSOD Research and Beyond
he Challenge of Unknown Objects in Detection Recent advances in object detection have enabled models to accurately detect and classify known objects in images. However, in real-world applications, detectors frequently encounter objects
Read More