2 papers
cs.CV2025
Masked Autoencoders are Robust Data Augmentors
Haohang Xu, Shuangrui Ding, Manqi Zhao +1
Deep neural networks are capable of learning powerful representations to tackle complex vision tasks but expose undesirable properties like the over-fitting issue. To this end, reg…
eess.IV2024
Frequency-Aware Transformer for Learned Image Compression
Han Li, Shaohui Li, Wenrui Dai +3
Learned image compression (LIC) has gained traction as an effective solution for image storage and transmission in recent years. However, existing LIC methods are redundant in late…