[HTML][HTML] Exploring the synergies between collaborative robotics, digital twins, augmentation, and industry 5.0 for smart manufacturing: A state-of-the-art review

MH Zafar, EF Langås, F Sanfilippo - Robotics and Computer-Integrated …, 2024 - Elsevier
Industry 5.0 aims at establishing an inclusive, smart and sustainable production process that
encourages human creativity and expertise by leveraging enhanced automation and …

A survey of robot learning strategies for human-robot collaboration in industrial settings

D Mukherjee, K Gupta, LH Chang, H Najjaran - Robotics and Computer …, 2022 - Elsevier
Increased global competition has placed a premium on customer satisfaction, and there is a
greater demand for manufacturers to be flexible with their products and services. This …

Tapir: Tracking any point with per-frame initialization and temporal refinement

C Doersch, Y Yang, M Vecerik… - Proceedings of the …, 2023 - openaccess.thecvf.com
We present a novel model for Tracking Any Point (TAP) that effectively tracks any queried
point on any physical surface throughout a video sequence. Our approach employs two …

Tap-vid: A benchmark for tracking any point in a video

C Doersch, A Gupta, L Markeeva… - Advances in …, 2022 - proceedings.neurips.cc
Generic motion understanding from video involves not only tracking objects, but also
perceiving how their surfaces deform and move. This information is useful to make …

Virtual-reality interpromotion technology for metaverse: A survey

D Wu, Z Yang, P Zhang, R Wang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The metaverse aims to build an immersive virtual reality world to support the daily life, work,
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …

Sign language recognition: A deep survey

R Rastgoo, K Kiani, S Escalera - Expert Systems with Applications, 2021 - Elsevier
Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …

Printed circuit board defect detection methods based on image processing, machine learning and deep learning: A survey

Q Ling, NAM Isa - IEEE access, 2023 - ieeexplore.ieee.org
Printed circuit boards (PCBs) are a nearly ubiquitous component of every kind of electronic
device. With the rapid development of integrated circuit and semiconductor technology, the …

Dynamic hand gesture recognition using multi-branch attention based graph and general deep learning model

ASM Miah, MAM Hasan, J Shin - IEEE Access, 2023 - ieeexplore.ieee.org
The dynamic hand skeleton data have become increasingly attractive to widely studied for
the recognition of hand gestures that contain 3D coordinates of hand joints. Many …

Interhand2. 6m: A dataset and baseline for 3d interacting hand pose estimation from a single rgb image

G Moon, SI Yu, H Wen, T Shiratori, KM Lee - Computer Vision–ECCV 2020 …, 2020 - Springer
Abstract Analysis of hand-hand interactions is a crucial step towards better understanding
human behavior. However, most researches in 3D hand pose estimation have focused on …

A review of single-source deep unsupervised visual domain adaptation

S Zhao, X Yue, S Zhang, B Li, H Zhao… - … on Neural Networks …, 2020 - ieeexplore.ieee.org
Large-scale labeled training datasets have enabled deep neural networks to excel across a
wide range of benchmark vision tasks. However, in many applications, it is prohibitively …