Results 101 to 110 of about 987,911 (296)

FineSegNeRF: Semantic NeRF for fine semantic segmentation

Biomimetic Intelligence and Robotics
Semantic segmentation is a crucial technology for intelligent vehicles, enabling robust scene understanding in complex driving environments. However, existing methods often struggle with small, distant, and overlapping objects, posing challenges for safe
Weitao Liu, Shiyao Wang, Junjun Wu, Qinghua Lu   +3 more
doaj   +1 more source

Weakly Supervised Deep Semantic Segmentation Using CNN and ELM with Semantic Candidate Regions

Complexity, 2019
The task of semantic segmentation is to obtain strong pixel-level annotations for each pixel in the image. For fully supervised semantic segmentation, the task is achieved by a segmentation model trained using pixel-level annotations.
Xinying Xu, Guiqing Li, Gang Xie, Jinchang Ren, Xinlin Xie   +4 more
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Enriching texture analysis with semantic data [PDF]

, 2013
We argue for the importance of explicit semantic modelling in human-centred texture analysis tasks such as retrieval, annotation, synthesis, and zero-shot learning.To this end, low-level attributes are selected and used to define a semantic space for ...
Matthews, Tim, Niranjan, Mahesan, Nixon, Mark S.   +2 more
core   +2 more sources

Turning Water Into a Tool: From Degradation Pathways to Functional Engineering in Halide Perovskites

Advanced Materials Technologies, EarlyView.
Water exhibits a threshold‐dependent dual role in lead halide perovskites, acting either as a degradation trigger or as a powerful tool for defect passivation, recrystallization, and structural engineering. This review discusses how controlled water‐mediated interactions govern stability, dimensionality, and optoelectronic performance, providing ...
Raphaella T. S. Gonçalves, Gabriela O. Gera, Aryane Tofanello, Jose A. Souza, Andre L. M. Freitas   +4 more
wiley   +1 more source

Application of Deep Learning Semantic Segmentation Models in Remote Sensing-Based Cropland Non-Grain and Non-Agriculturalization Monitoring: A Comparative Study

Land
Cropland non-grain and non-agriculturalization monitoring (CNNM) is of great significance for ensuring national food security. Recently, semantic segmentation has been a promising approach that can fully exploit the advantages of high-resolution remote ...
Zhao Deng, Ming Cheng, Junde Xie, Tianyong Wan, Pengzhi Yang, Jianbo Tan, Sixue Xia, Jia Zhang, Xin Wu   +8 more
doaj   +1 more source

Coherent segmentation of video into syntactic regions [PDF]

, 2005
In this paper we report on our work in realising an approach to video shot matching which involves automatically segmenting video into abstract intertwinded shapes in such a way that there is temporal coherency.
O'Connor, Noel E., Smyth, Oliver, Le Borgne, Hervé, de Burca, Seán, Smeaton, Alan F., Adamek, Tomasz, O\u27Connor, Noel E.   +6 more
core   +2 more sources

Extrusion Bioprinting for Wound Healing: Innovations in Functionalized Bioinks and Bioprinting Technology

Advanced Materials Technologies, EarlyView.
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le, Anh Tuan Trong Tran, Ammara Waheed, Tran Thanh Tung, Dusan Losic   +4 more
wiley   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source