Review of machine learning methods in soft robotics
Soft robots have been extensively researched due to their flexible, deformable, and adaptive
characteristics. However, compared to rigid robots, soft robots have issues in modeling …
characteristics. However, compared to rigid robots, soft robots have issues in modeling …
Advances in hyperspectral image and signal processing: A comprehensive overview of the state of the art
Recent advances in airborne and spaceborne hyperspectral imaging technology have
provided end users with rich spectral, spatial, and temporal information. They have made a …
provided end users with rich spectral, spatial, and temporal information. They have made a …
Seeing beyond the brain: Conditional diffusion model with sparse masked modeling for vision decoding
Decoding visual stimuli from brain recordings aims to deepen our understanding of the
human visual system and build a solid foundation for bridging human and computer vision …
human visual system and build a solid foundation for bridging human and computer vision …
[PDF][PDF] Taking human out of learning applications: A survey on automated machine learning
Machine learning techniques have deeply rooted in our everyday life. However, since it is
knowledge-and labor-intensive to pursue good learning performance, humans are heavily …
knowledge-and labor-intensive to pursue good learning performance, humans are heavily …
AID: A benchmark data set for performance evaluation of aerial scene classification
Aerial scene classification, which aims to automatically label an aerial image with a specific
semantic category, is a fundamental problem for understanding high-resolution remote …
semantic category, is a fundamental problem for understanding high-resolution remote …
Deep learning for visual understanding: A review
Deep learning algorithms are a subset of the machine learning algorithms, which aim at
discovering multiple levels of distributed representations. Recently, numerous deep learning …
discovering multiple levels of distributed representations. Recently, numerous deep learning …
Disentangled person image generation
Generating novel, yet realistic, images of persons is a challenging task due to the complex
interplay between the different image factors, such as the foreground, background and pose …
interplay between the different image factors, such as the foreground, background and pose …
On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation
Understanding and interpreting classification decisions of automated image classification
systems is of high value in many applications, as it allows to verify the reasoning of the …
systems is of high value in many applications, as it allows to verify the reasoning of the …
Constructing a prior-dependent graph for data clustering and dimension reduction in the edge of AIoT
Abstract The Artificial Intelligence Internet of Things (AIoT) is an emerging concept aiming to
perceive, understand and connect the 'intelligent things' to make the intercommunication of …
perceive, understand and connect the 'intelligent things' to make the intercommunication of …
A review on human activity recognition using vision‐based method
Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …
on the actions of subjects and the environmental conditions. The vision‐based HAR …