Results 11 to 20 of about 9,340,776 (309)
Efficient Multi-Scale Attention Module with Cross-Spatial Learning [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Remarkable effectiveness of the channel or spatial attention mechanisms for producing more discernible feature representation are illustrated in various computer vision tasks.
Daliang Ouyang +6 more
semanticscholar +1 more source
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning [PDF]
European Conference on Computer Vision, 2022 Many existing autonomous driving paradigms involve a multi-stage discrete pipeline of tasks. To better predict the control signals and enhance user safety, an end-to-end approach that benefits from joint spatial-temporal feature learning is desirable ...
Shengchao Hu +5 more
semanticscholar +1 more source
Morris water maze: a versatile and pertinent tool for assessing spatial learning and memory
Experimental animals, 2022 Since its development about 40 years ago (1981–2021), Morris water maze has turned into a very popular tool for assessing spatial learning and memory. Its many advantages have ensured its pertinence to date.
Muhammad Zulfadhli Othman +2 more
semanticscholar +1 more source
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain [PDF]
Computer Vision and Pattern Recognition, 2021 The remarkable success in face forgery techniques has received considerable attention in computer vision due to security concerns. We observe that up-sampling is a necessary step of most face forgery techniques, and cumulative up-sampling will result in ...
Honggu Liu +7 more
semanticscholar +1 more source
Spatial Iterative Learning Control for Robotic Path Learning [PDF]
IEEE Transactions on Cybernetics, 2022 A spatial iterative learning control (sILC) method is proposed for a robot to learn a desired path in an unknown environment. When interacting with the environment, the robot initially starts with a predefined trajectory so an interaction force is generated.
Lin Yang +4 more
openaire +2 more sources
Pharmaceutics, 2020 Research demonstrates that adolescents differ from adults in their response to drugs of abuse. The aim of the present study was to examine the influence of ethanol, Δ9-tetrahydrocannabinol hydrochloride (THC), and a combination of these drugs given ...
Ewa Gibula-Tarlowska +2 more
doaj +1 more source
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition [PDF]
AAAI Conference on Artificial Intelligence, 2018 Dynamics of human body skeletons convey significant information for human action recognition. Conventional approaches for modeling skeletons usually rely on hand-crafted parts or traversal rules, thus resulting in limited expressive power and ...
Sijie Yan, Yuanjun Xiong, Dahua Lin
semanticscholar +1 more source
Life, 2022 Using an in vivo method for the assessment of polyphosphoinositide (PI) hydrolysis, we examine whether spatial learning and memory extinction cause changes in mGlu5 metabotropic glutamate receptor signaling in the hippocampus and prefrontal cortex.
Ana Elena Teleuca +10 more
doaj +1 more source
Hippocampus, 2020 When faced with changing contingencies, animals can use memory to flexibly guide actions, engaging both frontal and temporal lobe brain structures. Damage to the hippocampus (HPC) impairs episodic memory, and damage to the prefrontal cortex (PFC) impairs
P. Avigan +2 more
semanticscholar +1 more source
Effectively learning spatial indices
Proceedings of the VLDB Endowment, 2020 Machine learning, especially deep learning, is used increasingly to enable better solutions for data management tasks previously solved by other means, including database indexing. A recent study shows that a neural network can not only learn to predict the disk address of the data value associated with a one-dimensional search key but also outperform ...
Qi, Jianzhong +3 more
openaire +2 more sources