A systematic literature review of visual feature learning: deep learning techniques, applications, challenges and future directions
Abstract Visual Feature Learning (VFL) is a critical area of research in computer vision that
involves the automatic extraction of features and patterns from images and videos. The …
involves the automatic extraction of features and patterns from images and videos. The …
UCIP: A universal framework for compressed image super-resolution using dynamic prompt
Compressed Image Super-resolution (CSR) aims to simultaneously super-resolve the
compressed images and tackle the challenging hybrid distortions caused by compression …
compressed images and tackle the challenging hybrid distortions caused by compression …
HSMR: A Head-Shoulder Mask Aided ResNet to Guide Focus of Re-Identification Implemented on Tour-Guide Robot
Z Lin, M Huang, W Wang, M Qin, T Li… - … on Robotics and …, 2022 - ieeexplore.ieee.org
For service robots, person re-identification (ReID) and multi-pedestrian tracking (MPT) are
vital to get a person's location and link identities across frames. Though their accuracy keeps …
vital to get a person's location and link identities across frames. Though their accuracy keeps …