1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.IV2024
S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context
Yongqiang Wang, Haisheng Fu, Qi Cao +3
Recently, deep learning technology has been successfully applied in the field of image compression, leading to superior rate-distortion performance. It is crucial to design an effe…
eess.IV2023★ 1 cited
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation
Haisheng Fu, Feng Liang, Jie Liang +3
Deep learning-based image compression has made great progresses recently. However, many leading schemes use serial context-adaptive entropy model to improve the rate-distortion (R-…