Abstract: Sparse linear arrays serve as the fundamental basis for sparse signal processing and have demonstrated remarkable direction-of-arrival (DOA) estimation performance. Due to the merit of ...

Abstract: In this paper, a global algorithm based on graph cuts theory is proposed to solve the sparse stereo matching problem. The sparse feature points are extracted by the Harris corner detector.

This repository provides a guide for implementing and training a sparse autoencoder using PyTorch. This will save the trained model as sparse_autoencoder.pth. Monitor the loss values printed to the ...

Sparse Transfer is quite similar to the typical YOLOv8 training, where a checkpoint pre-trained on COCO is fine-tuned onto a smaller downstream dataset. However, with Sparse Transfer Learning, the ...