AnyPattern: Towards In-context Image Copy Detection

arXiv:2404.13788v1 Announce Type: new
Abstract: This paper explores in-context learning for image copy detection (ICD), i.e., prompting an ICD model to identify replicated images with new tampering patterns without the need for additional training. The prompts (or the contexts) are from a small set of image-replica pairs that reflect the new patterns and are used at inference time. Such in-context ICD has good realistic value, because it requires no fine-tuning and thus facilitates fast reaction against the emergence of unseen …

arxiv context copy cs.ai cs.cv detection image type