Results 81 to 90 of about 12,457,928 (304)

Adversarial Examples for Semantic Image Segmentation

CoRR, 2017
ICLR 2017 workshop ...
Volker Fischer 0003, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox   +3 more
openaire   +3 more sources

Dense Semantic Image Segmentation with Objects and Attributes [PDF]

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
The concepts of objects and attributes are both important for describing images precisely, since verbal descriptions often contain both adjectives and nouns (e.g. 'I see a shiny red chair'). In this paper, we formulate the problem of joint visual attribute and object class image segmentation as a dense multi-labelling problem, where each pixel in an ...
Shuai Zheng 0001, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr   +6 more
openaire   +2 more sources

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Region-based segmentation of images using syntactic visual features [PDF]

, 2005
This paper presents a robust and efficient method for segmentation of images into large regions that reflect the real world objects present in the scene. We propose an extension to the well known Recursive Shortest Spanning Tree (RSST) algorithm based on
Murphy, Noel, O'Connor, Noel E., Adamek, Tomasz   +2 more
core   +2 more sources

Study on traffic scene semantic segmentation method based on convolutional neural network

Tongxin xuebao, 2018
In order to improve the semantic segmentation accuracy of traffic scene,a segmentation method was proposed based on RGB-D image and convolutional neural network.Firstly,on the basis of semi-global stereo matching algorithm,the disparity map was obtained ...
Linhui LI, Bo QIAN, Jing LIAN, Weina ZHENG, Yafu ZHOU   +4 more
doaj   +2 more sources

Image-Level and Feature-Level Semantic-Aware Architecture for Cross Domain Semantic Segmentation of High-Resolution Remote Sensing Imagery [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Semantic segmentation of remote sensing images has attracted considerable attentions. For cross domain semantic segmentation, the images captured at different times inevitably exhibit significant domain gaps, which limits the segmentation performance of ...
J. Miao, X. Li, X. Bai
doaj   +1 more source

Object segmentation by fitting statistical shape models : a Kernel-based approach with application to wisdom tooth segmentation from CBCT images [PDF]

, 2014
Image segmentation is an important and challenging task in medical image analysis. Especially from low-quality images, segmentation algorithms have to cope with misleading background clutter, insufficient object boundaries and noise in the image ...
Jud, Christoph
core   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source