Results 51 to 60 of about 11,183,951 (361)

Small Object Detection with Multiscale Features [PDF]

International Journal of Digital Multimedia Broadcasting, 2018
The existing object detection algorithm based on the deep convolution neural network needs to carry out multilevel convolution and pooling operations to the entire image in order to extract a deep semantic features of the image. The detection models can get better results for big object.
Guo X. Hu, Zhong Yang, Lei Hu, Li Huang, Jia M. Han   +4 more
openaire   +2 more sources

Why does brain damage impair memory? A connectionist model of object recognition memory in perirhinal cortex [PDF]

, 2006
Object recognition is the canonical test of declarative memory, the type of memory putatively impaired after damage to the temporal lobes. Studies of object recognition memory have helped elucidate the anatomical structures involved in declarative memory,
Bussey, Timothy J., Cowell, Rosemary A., Saksida, Lisa M.   +2 more
core   +1 more source

Contextualized Small Target Detection Network for Small Target Goat Face Detection

, 2023
With the advancement of deep learning technology, the importance of utilizing deep learning for livestock management is becoming increasingly evident. goat face detection provides a foundation for goat recognition and management.
Hongwei Du, Liang Wang, Yaxin Wang, Ding Han, Ying Guo   +4 more
core   +1 more source

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

A Siamese Network with a Multiscale Window-Based Transformer via an Adaptive Fusion Strategy for High-Resolution Remote Sensing Image Change Detection

Remote Sensing, 2023
Remote sensing image change detection (RS-CD) has made impressive progress with the help of deep learning techniques. Small object change detection (SoCD) still faces many challenges.
Chao Tao, Dongsheng Kuang, Kai Wu, Xiaomei Zhao, Chunyan Zhao, Xin Du, Yunsheng Zhang   +6 more
doaj   +1 more source

Object representation and distance encoding in three-dimensional environments by a neural circuit in the visual system of the blowfly

, 2012
Liang P, Heitwerth J, Kern R, Kurtz R, Egelhaaf M. Object representation and distance encoding in three-dimensional environments by a neural circuit in the visual system of the blowfly. Journal of Neurophysiology.
Heitwerth, Jochen, Egelhaaf, Martin ; https://orcid.org/, Kern, Roland ; https://orcid.org/, Kurtz, Rafael, Liang, Pei   +4 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

A Data-Centric Approach for Wind Plant Instance-Level Segmentation Using Semantic Segmentation and GIS

Remote Sensing, 2023
Wind energy is one of Brazil’s most promising energy sources, and the rapid growth of wind plants has increased the need for accurate and efficient inspection methods.
Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Olino de Albuquerque, Alex Gois Orlandi, Issao Hirata, Díbio Leandro Borges, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães   +7 more
doaj   +1 more source

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source

SSAM_YOLOv5: YOLOv5 Enhancement for Real-Time Detection of Small Road Signs

Digital
Many traffic-sign detection systems are available to assist drivers with particular conditions such as small and distant signs, multiple signs on the road, objects similar to signs, and other challenging conditions.
Fatima Qanouni, Hakim El Massari, Noreddine Gherabi, Maria El-Badaoui   +3 more
doaj   +1 more source