The paper discusses the challenges of traffic sign detection in autonomous vehicles and driver assistance systems. The authors propose a novel strategy utilizing Vision Transformers, which have shown success in…
Continue readingThe article presents a survey of unsupervised object localization methods that discover objects in images without any manual annotation. It highlights the importance of such methods in open-world vision systems,…
Continue readingThe article presents a novel method for cross-domain face anti-spoofing (FAS) leveraging language guidance. The authors demonstrate that initializing Vision Transformer (ViT) models with multimodal pre-trained weights improves generalizability for…
Continue readingProRes is a novel approach to image restoration that leverages degradation-aware visual prompts to control the restoration process. The model is designed to handle a variety of image degradation types,…
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