Human memory update strategy: a multi-layer template update mechanism for remote visual monitoring
… Usually, the maximum response value is selected as … mechanism infers that human cognitive
computation/science such as human visual memory will bring newer ideas and methods in …
computation/science such as human visual memory will bring newer ideas and methods in …
Alpacafarm: A simulation framework for methods that learn from human feedback
… feedback mechanism makes use of the same underlying ideas, but our work is distinguished
by a focus on using pairwise feedback … shows that LLM feedback can capture method-level …
by a focus on using pairwise feedback … shows that LLM feedback can capture method-level …
Pymaf: 3d human pose and shape regression with pyramidal mesh alignment feedback loop
… PyMAF is close-loop for both training and inference, which enables a feedback loop in our
deep … Table 4 reports the performances of the approaches equipped with different types of …
deep … Table 4 reports the performances of the approaches equipped with different types of …
A survey of human-in-the-loop for machine learning
… feedback loop and offline feedback loop [83]. For the online feedback loop, human feedback
is … Compared with traditional approaches that mismatch the training set and online use case …
is … Compared with traditional approaches that mismatch the training set and online use case …
Review of swarm intelligence-based feature selection methods
… of a previous comprehensive review of SI-based feature selection methods, the … selection.
This paper seeks to provide a comprehensive overview of SI-based feature selection methods …
This paper seeks to provide a comprehensive overview of SI-based feature selection methods …
Human activity recognition with smartphone and wearable sensors using deep learning techniques: A review
E Ramanujam, T Perumal… - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
… As well, deep GRUs is used for their feedback mechanism to improve the performance of
stability in activity recognition. Ordóñez and Roggen [69] have proposed a DeepConvLSTM …
stability in activity recognition. Ordóñez and Roggen [69] have proposed a DeepConvLSTM …
Intelligent welding system technologies: State-of-the-art review and perspectives
… This paper examines fundamental components and techniques necessary to make welding
systems intelligent, including sensing and signal processing, feature extraction and selection…
systems intelligent, including sensing and signal processing, feature extraction and selection…
Analysis of navigation assistants for blind and visually impaired people: A systematic review
… The system firstly uses outdoor technique of visual odometry … mechanism ultimately evaluates
the application based on its capabilities feedback system, time consumption and response …
the application based on its capabilities feedback system, time consumption and response …
A review of computer vision technologies for plant phenotyping
… there is no review paper to compare and analyze these methods thoroughly. Therefore, this
review introduces the typical plant phenotyping methods based on computer vision in detail, …
review introduces the typical plant phenotyping methods based on computer vision in detail, …
Human-machine interaction sensing technology based on hand gesture recognition: A review
L Guo, Z Lu, L Yao - IEEE Transactions on Human-Machine …, 2021 - ieeexplore.ieee.org
… visual method. In recent years, many scholars have proved the feasibility of sEMG method in
experiments and system … From the recognizable gesture type, we can see that visual mode …
experiments and system … From the recognizable gesture type, we can see that visual mode …