High efficiency deep image compression via channel-wise scale adaptive latent representation learning
Recent learning based neural image compression methods have achieved impressive rate–
distortion (RD) performance via the sophisticated context entropy model, which performs …
distortion (RD) performance via the sophisticated context entropy model, which performs …
Transferable Learned Image Compression-Resistant Adversarial Perturbations
Adversarial attacks can readily disrupt the image classification system, revealing the
vulnerability of DNN-based recognition tasks. While existing adversarial perturbations are …
vulnerability of DNN-based recognition tasks. While existing adversarial perturbations are …
Point Cloud-Assisted Neural Image Compression
High-efficient image compression is a critical requirement. In several scenarios where
multiple modalities of data are captured by different sensors, the auxiliary information from …
multiple modalities of data are captured by different sensors, the auxiliary information from …
Advancing Efficient Deep Learning: An Exploration of Model Compression From Classification to Generative Models
Y Sui - 2024 - search.proquest.com
Abstract Deep Neural Networks (DNNs) have gained prominence across a range of
applications, consisting of computer vision, speaker recognition, and natural language …
applications, consisting of computer vision, speaker recognition, and natural language …