Results 81 to 90 of about 102,874 (306)
Efficient CNNs via Passive Filter Pruning [PDF]
, 2023 Convolutional neural networks (CNNs) have shown state-of-the-art performance in various applications. However, CNNs are resource-hungry due to their requirement of high computational complexity and memory storage.
Plumbley, Mark D., Singh, Arshdeep
core +1 more source
NEW CRITERIA FOR THE EXISTENCE OF STABLE EQUILIBRIUM POINTS IN NONSYMMETRIC CELLULAR
Electrica, 2002 This paper presents new criteria for the existence of stable equilibrium points in the total saturation region for cellular neural networks (CNNs). It is shown that the results obtained can be used to derive some complete stability conditions for some ...
Neyir OZCAN +2 more
doaj +2 more sources
CoRR, 2017 Faster R-CNN is one of the most representative and successful methods for object detection, and has been becoming increasingly popular in various objection detection applications. In this report, we propose a robust deep face detection approach based on Faster R-CNN.
Hao Wang 0050 +3 more
openaire +2 more sources
Supplementary Material (Paper CNNs in Education)
, 2022 Supplementary Material (Paper CNNs in Education)
Thiago Damasceno Cordeiro +9 more
core +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Advanced Robotics Research, EarlyView.Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Annotated Image Database of Architecture-CNNs (AIDA-CNNs)
By leveraging the state-of-the-art deep-learning-based classification models, a series of hierarchical multi-label classification models (AIDA-CNNs) are provided as a baseline for the task of architectural category classification. With the high-diversity
Chen, Jielin
core +1 more source
Advanced Robotics Research, EarlyView.Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Morphological properties of reconstructed CNNs.
, 2016 Morphological properties of reconstructed CNNs.
Laurens Witter (3350393) +2 more
core +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
Advanced Robotics Research, EarlyView.A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
, 2021 Convolutional neural networks (CNNs) have played a prominent role in recent years in the field of computational vision, becoming the dominant approach for recognition and detection tasks.
Ferreira, Vitor Finotti
core +1 more source