Abstract: Recently, many compressed neural network models have been implemented on embedded platforms. However, there is still a lack of steganographic methods that utilizes these compressed models ...

Abstract: Machine-learning (ML) assisted microwave circuit design is an interesting complement to traditional topology-based design since it opens up previously unexplored design spaces that in some ...

Abstract: Camouflaged Object Detection (COD) aims to segment objects resembling their environment. To address the challenges of extensive annotations and complex optimizations in supervised learning, ...

Abstract: With the assistance of large language models, which offer universal medical prior knowledge via text prompts, state-of-the-art Universal Models (UM) have demonstrated considerable potential ...