IEEE

MLFI-Net: A Modified Encoder-Decoder Network With Multi-Layer Feature Interwoven for Liver Tumor Segmentation

Abstract: Timely screening of liver tumors plays a crucial role in minimizing the risk of tumor deterioration and improving the survival rate of patients. However, the locations of liver tumors in ...
GitHub

Question about SLAT encoder training and other issues

First of all, thank you for this amazing work! I have a quick question regarding the SLAT encoder used in encode_ss_latent.py: could you share some details about how this encoder was trained? For ...
GitHub

VeloxSeg: Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation

Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...
IEEE

SEDN: A Spatiotemporal Encoder-Decoder Network for End-to-End Object Removal Forgery Detection in High-Resolution Videos

Abstract: With the growing popularity of high-resolution (HR) video and the continuous growth of network bandwidth, the challenge of object removal detection in HR videos has attracted significant ...