IEEE

Learning Modality Geometry for Multispectral Object Detection: Adaptive Spacing and 3-D Rotary Position Embedding

Abstract: Positional encoding is crucial for the Transformer to effectively process multimodal feature information in multispectral object detection. However, existing studies often directly apply ...
IEEE

Learning Modality Geometry for Multispectral Object Detection: Adaptive spacing and 3D Rotary Position Embedding

Abstract: Positional encoding is crucial for the Transformer to effectively process multi-modal feature information in multispectral object detection. However, existing studies often directly apply ...
GitHub

Range-aware Graph Positional Encoding via High-order Pretraining: Theory and Practice

This repository contains the implementation of HOPE-WavePE (High-Order Permutation-Equivariant Autoencoder for Wavelet Positional Encoding), a novel graph representation learning method. HOPE-WavePE ...
GitHub

THUHoloLab/Swift-hashConvolutional-INR

This is the MATLAB code for the implementation of swift hash-convolutional neural representation (SWAN), a convolutional network-based neural representation for image combined with hash-based ...