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Review of One-Stage Universal Object Detection Algorithms in Deep Learning [PDF]

Jisuanji kexue yu tansuo
In recent years, object detection algorithms have gradually become a hot research direction as a core task in the field of computer vision. They enable computers to recognize and locate target objects in images or video frames, and are widely used in ...
WANG Ning, ZHI Min
doaj   +1 more source

Towards High Performance Video Object Detection

, 2017
There has been significant progresses for image object detection in recent years. Nevertheless, video object detection has received little attention, although it is more challenging and more important in practical scenarios. Built upon the recent works,
Dai, Jifeng, Wei, Yichen, Yuan, Lu, Zhu, Xizhou   +3 more
core   +1 more source

Continual Detection Transformer for Incremental Object Detection

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Incremental object detection (IOD) aims to train an object detector in phases, each with annotations for new object categories. As other incremental settings, IOD is subject to catastrophic forgetting, which is often addressed by techniques such as knowledge distillation (KD) and exemplar replay (ER).
Liu, Y., Schiele, B. ; https://orcid.org/0000-0001-9683-5237, Vedaldi, A., Rupprecht, C.   +3 more
openaire   +3 more sources

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 more
wiley   +1 more source

Centered Multi-Task Generative Adversarial Network for Small Object Detection

Sensors, 2021
Despite the breakthroughs in accuracy and efficiency of object detection using deep neural networks, the performance of small object detection is far from satisfactory. Gaze estimation has developed significantly due to the development of visual sensors.
Hongfeng Wang, Jianzhong Wang, Kemeng Bai, Yong Sun   +3 more
doaj   +1 more source

A novel approach to recognition of the detected moving objects in non-stationary background using heuristics and colour measurements : a thesis presented in partial fulfilment of the requirement for the degree of Master of Engineering at Massey University, Albany, New Zealand [PDF]

, 2017
Computer vision has become a growing area of research which involves two fundamental steps, object detection and object recognition. These two steps have been implemented in real world scenarios such as video surveillance systems, traffic cameras for ...
Lal, Kartikay
core  

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul, Jatuporn Sujjitjoon, Pa‐thai Yenchitsomanus, Kridtin Jarutatsanangkoon, Ng Wei Loon, Kleebsabai Sanpakit, Jassada Buaboonnam, Chayamon Takpradit, Pornpimon Yuti, Nunghathai Sawasdee, Piriya Luangwattananun, Siripakorn Sangkitporn, Arnan Limmahachai, La‐ongsri Atchaneeyasakul   +13 more
wiley   +1 more source

Toward Versatile Small Object Detection with Temporal-YOLOv8

Sensors
Deep learning has become the preferred method for automated object detection, but the accurate detection of small objects remains a challenge due to the lack of distinctive appearance features.
Martin C. van Leeuwen, Ella P. Fokkinga, Wyke Huizinga, Jan Baan, Friso G. Heslinga   +4 more
doaj   +1 more source

Object detection model of coal mine rescue robot based on multi -scale feature fusio

Gong-kuang zidonghua, 2020
Traditional object detection model uses artificial object features, resulting in poor detection accuracy. Object detection model based on deep learning has high detection accuracy.
ZHAI Guodong, REN Cong, WANG Shuai, YUE Zhongwen, PAN Tao, JI Rujia   +5 more
doaj   +1 more source

Review on One-Stage Object Detection Based on Deep Learning

EAI Endorsed Transactions on e-Learning, 2022
As a popular research direction in computer vision, deep learning technology has promoted breakthroughs in the field of object detection. In recent years, the combination of object detection and the Internet of Things (IoT) has been widely used in the ...
Hang Zhang, Rayan S Cloutier
doaj   +1 more source