Image Copy Detection

Image copy detection (ICD) aims to identify instances where an image has been copied, potentially with edits, from a reference database. Current research emphasizes developing robust and efficient methods, focusing on lightweight network architectures and self-supervised learning techniques to improve accuracy and scalability, particularly when dealing with challenging transformations like cropping and recoloring. These advancements are crucial for addressing issues like plagiarism, copyright infringement, and the detection of manipulated media in various applications, including social media content moderation and digital forensics.