Abstract: Here, we propose a hybrid Deep Learning (DL) framework consisting of a Denoising Autoencoder (DAE), Convolutional Neural Network (CNN), Bidirectional LSTM (BiLSTM), and a custom Attention ...
Stage 1 - Label-Aware Language Modeling: We utilize Conditional BERT (CBERT) to fine-tune a language model that incorporates class label information, ensuring that synthetic substitutions remain label ...
Abstract: Unsupervised Visible-Infrared Person Re-Identification (US-VI-ReID) has great potential prospects because it does not require label information. However, corrupted pedestrian images ...
SurfMT-GNN/ ├── README.md # This file ├── LICENSE # MIT License ├── requirements.txt # Python dependencies ├── environment.yml # Conda environment ├── CITATION.cff # Citation information │ ├── configs ...