Results 41 to 50 of about 9,950,964 (296)

Algorithms for Mobile Robot Localization and Mapping, Incorporating Detailed Noise Modeling and Multi-scale Feature Extraction [PDF]

, 2006
Mobile robot localization and mapping in unknown environments is a fundamental requirement for effective autonomous navigation. Three different approaches to localization and mapping are presented.
Pfister, Samuel Thomas
core   +1 more source

M-FFN: multi-scale feature fusion network for image captioning

, 2022
In this work, we present a novel multi-scale feature fusion network (M-FFN) for image captioning task to incorporate discriminative features and scene contextual information of an image.
Prudviraj, Jeripothula, C, Krishna Mohan, Vishnu, Chalavadi   +2 more
core   +1 more source

Inexpensive fusion methods for enhancing feature detection [PDF]

, 2007
Recent successful approaches to high-level feature detection in image and video data have treated the problem as a pattern classification task. These typically leverage the techniques learned from statistical machine learning, coupled with ensemble ...
O'Connor, Noel E., Wilkins, Peter, Peter Wilkins, Tomasz Adamek, Smeaton, Alan F., Adamek, Tomasz, O\u27Connor, Noel E., Alan F. Smeaton, Noel E. O'Connor   +8 more
core   +2 more sources

Multi-scale features fusion module.

, 2022
Multi-scale features fusion module.
Junnian Wang (13970197), Jialin Tang (399815), Ruihan Xu (12263776), Feng Ni (160522), Wenjun Yu (644052)   +4 more
core   +1 more source

Fast Object Detection with Latticed Multi-Scale Feature Fusion

CoRR, 2020
Scale variance is one of the crucial challenges in multi-scale object detection. Early approaches address this problem by exploiting the image and feature pyramid, which raises suboptimal results with computation burden and constrains from inherent network structures.
Yue Shi, Bo Jiang, Zhengping Che, Jian Tang 0008   +3 more
openaire   +2 more sources

Scene Text Detection Based on Multi-scale Feature Extraction and Bidirectional Feature Fusion

Journal of Harbin University of Science and Technology
Natural scene text detection is a fundamental research work in the field of image processing and has a wide range of applications. Currently, natural scene text detection usually adopts single-scale convolution and multi-scale feature fusion to ...
LIAN Zhe, YIN Yanjun, ZHI Min, XU Qiaozhi   +3 more
doaj   +1 more source

MSDSANet: Multimodal Emotion Recognition Based on Multi-Stream Network and Dual-Scale Attention Network Feature Representation

Sensors
Aiming at the shortcomings of EEG emotion recognition models in feature representation granularity and spatiotemporal dependence modeling, a multimodal emotion recognition model integrating multi-scale feature representation and attention mechanism is ...
Weitong Sun, Xingya Yan, Yuping Su, Gaihua Wang, Yumei Zhang   +4 more
doaj   +1 more source

High-Resolution Crowd Density Maps Generation With Multi-Scale Fusion Conditional GAN

IEEE Access, 2020
The major challenges for density maps estimation and accurate counting stem from the large-scale variations, serious occlusions, and perspective distortions.
Shaonian Huang, Hongjing Zhou, Yao Liu, Rongyuan Chen   +3 more
doaj   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Feature-Level Multi-focus Image Fusion using Neural Network and Image Enhancement [PDF]

, 2012
Image Processing applications have grown vastly in real world. Commonly due to limited depth of optical field lenses, it becomes inconceivable to obtain an image where all the objects are in focus.
Dr. G. Mamatha, Cyril Prasanna Raj, Shaik Abdul Rahim   +2 more
core