Results 71 to 80 of about 7,417,847 (369)

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals [PDF]

Computer Vision and Pattern Recognition, 2020
We present Sparse R-CNN, a purely sparse method for object detection in images. Existing works on object detection heavily rely on dense object candidates, such as k anchor boxes pre-defined on all grids of image feature map of size H × W. In our method,
Pei Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, M. Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo   +10 more
semanticscholar   +1 more source

Deep Regionlets for Object Detection

, 2018
In this paper, we propose a novel object detection framework named "Deep Regionlets" by establishing a bridge between deep neural networks and conventional detection schema for accurate generic object detection.
Kaiming He, M Everingham, PF Felzenszwalb, S Mallat, S Ren, T Ahonen, Tsung-Yi Lin, W Ouyang, Wei Liu, X Wang   +9 more
core   +1 more source

A comprehensive review on intelligent surveillance systems

Communications in Science and Technology, 2016
Intelligent surveillance system (ISS) has received growing attention due to the increasing demand on security and safety. ISS is able to automatically analyze image, video, audio or other type of surveillance data without or with limited human ...
Sutrisno Warsono Ibrahim
doaj   +1 more source

Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review

Remote Sensing, 2023
With the accelerated development of artificial intelligence, remote-sensing image technologies have gained widespread attention in smart cities. In recent years, remote sensing object detection research has focused on detecting and counting small dense ...
Xuan Wang, Aoran Wang, Jinglei Yi, Yongchao Song, Abdellah Chehri   +4 more
doaj   +1 more source

Activity Driven Weakly Supervised Object Detection

, 2019
Weakly supervised object detection aims at reducing the amount of supervision required to train detection models. Such models are traditionally learned from images/videos labelled only with the object class and not the object bounding box.
Ghadiyaram, Deepti, Mahajan, Dhruv, Nevatia, Ram, Ramanathan, Vignesh, Yang, Zhenheng   +4 more
core   +1 more source

Seeing Objects as Faces Enhances Object Detection [PDF]

i-Perception, 2015
The face is a special visual stimulus. Both bottom-up processes for low-level facial features and top-down modulation by face expectations contribute to the advantages of face perception. However, it is hard to dissociate the top-down factors from the bottom-up processes, since facial stimuli mandatorily lead to face awareness.
Kohske Takahashi, Katsumi Watanabe
openaire   +3 more sources

Potential Early Risk Biomarkers for Reduced Forced Expiratory Volume in Children Post‐Hematopoietic Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small, Pi Chun Cheng, April L. Rahrig, Courtney M. Rowan   +3 more
wiley   +1 more source

Enhanced Lightweight Object Detection Model in Complex Scenes: An Improved YOLOv8n Approach

Information
Object detection has a vital impact on the analysis and interpretation of visual scenes. It is widely utilized in various fields, including healthcare, autonomous driving, and vehicle surveillance.
Sohaya El Hamdouni, Boutaina Hdioud, Sanaa El Fkihi   +2 more
doaj   +1 more source

YOLO-World: Real-Time Open-Vocabulary Object Detection [PDF]

Computer Vision and Pattern Recognition
The You Only Look Once (YOLO) series of detectors have established themselves as efficient and practical tools. However, their reliance on predefined and trained object categories limits their applicability in open scenarios.
Tianheng Cheng, Lin Song, Yixiao Ge, Wenyu Liu, Xinggang Wang, Ying Shan   +5 more
semanticscholar   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source