GitHub

Canonical Rank Approximation (CaRA): An Efficient Fine-Tuning Strategy for Vision Transformers

Keywords: CaRA, Canonical Polyadic Decomposition, CPD, Tensor methods, ViT, LoRA Abstract: Modern methods for fine-tuning a Vision Transformer (ViT) like Low-Rank Adaptation (LoRA) and its variants ...
IEEE

Sign Language Detection with Action Recognition Using Temporal Convolutional Networks and Transformer Encoders

Abstract: Speech disabilities pose significant communication challenges, often leaving people dependent on sign language, which uses hand gestures, body movements, and facial expressions to convey ...
Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
IEEE

Robust Physics-Informed Full Waveform Inversion via a Transformer-Based Autoencoder

Abstract: Full waveform inversion (FWI) can produce high-resolution subsurface parameter models. However, due to its limitations in data acquisition, the observed data often lacks low-frequency ...