Results 91 to 100 of about 1,221,513 (328)
WAILS: Watershed Algorithm With Image-Level Supervision for Weakly Supervised Semantic Segmentation
IEEE Access, 2019 Image semantic segmentation has great development in many fields, and the lack of fully supervised segmentation labels has always been a major problem in the development of image semantic segmentation.
Hongming Zhou +4 more
doaj +1 more source
A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
Advanced Engineering Materials, EarlyView.A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann +5 more
wiley +1 more source
IET Computer Vision, 2021 Jointly performing semantic and instance segmentation of 3D point cloud remains a challenging task. In this work, a novel framework called joint 3D semantic‐instance segmentation via multi‐scale Semantic Association and Salient point clustering ...
Jingang Tan +4 more
doaj +1 more source
Relevancy between Objects Based on Common Sense for Semantic Segmentation
Applied Sciences, 2022 Research on image classification sparked the latest deep-learning boom. Many downstream tasks, including semantic segmentation, benefit from it. The state-of-the-art semantic segmentation models are all based on deep learning, and they sometimes make ...
Jun Zhou, Xing Bai, Qin Zhang
doaj +1 more source
3D-BEVIS: Bird's-Eye-View Instance Segmentation
, 2019 Recent deep learning models achieve impressive results on 3D scene analysis tasks by operating directly on unstructured point clouds. A lot of progress was made in the field of object classification and semantic segmentation.
A Dai +4 more
core +1 more source
In‐Hand Singulation, Scooping, and Cable Untangling with a 5‐Dof Tactile‐Reactive Gripper
Advanced Robotics Research, EarlyView.This article presents a two‐fingered gripper with five degrees of freedom and a vision‐based tactile sensor for dexterous in‐hand manipulation. It performs complex tasks such as object singulation within granular media, scooping and precise card insertion, and cable untangling.
Yuhao Zhou +3 more
wiley +1 more source
DEEP FULLY RESIDUAL CONVOLUTIONAL NEURAL NETWORK FOR SEMANTIC IMAGE SEGMENTATION [PDF]
, 2018 Department of Computer Science and EngineeringThe goal of semantic image segmentation is to partition the pixels of an image into semantically meaningful parts and classifying those parts according to a predefined label set.
Tousi, Ali
core
Advanced Science, EarlyView.Researchers develop advanced tools to study grapevine traits like berry quality and stress resilience. A 200K SNP array and high‐throughput phenotyping enable the identification of loci linked to berry shape, sugar content, acidity, and cold tolerance. Functional validation of genes such as NAC08 reveals roles in cold tolerance.
Yuyu Zhang +11 more
wiley +1 more source
DEAL: Difficulty-aware Active Learning for Semantic Segmentation [PDF]
arXiv, 2020 Active learning aims to address the paucity of labeled data by finding the most informative samples. However, when applying to semantic segmentation, existing methods ignore the segmentation difficulty of different semantic areas, which leads to poor performance on those hard semantic areas such as tiny or slender objects. To deal with this problem, we
arxiv
Advanced Science, EarlyView.Extended‐field acquisition enables sub‐micron X‐ray imaging of a full mouse brain. The 3.3‐teravoxel volume is reconstructed, registered to a reference atlas, and stored in hierarchical format to augment currently available atlases and improve resolution in the third dimension by an order of magnitude.
Mattia Humbel +8 more
wiley +1 more source