Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based on the training set that contains only normal images. In medical image analysis, UAD benefits from leveraging ...

An extension of the paper with additional results can be found in the provided button above (ExtendedPaper). This repository builds upon the original T-DEED implementation to evaluate the model across ...

Abstract: DETR first used a transformer in object detection. It does not use anchor boxes and non-maximum suppression by converting object detection into a set prediction problem. DETR has shown ...

Official repository for the paper "Exploring the Potential of Encoder-free Architectures in 3D LMMs". The encoder-free 3D LMM directly utilizes a token embedding module to convert point cloud data ...