Results 21 to 30 of about 10,282,673 (296)

Visual SLAM and Moving-object Detection for a Small-size Humanoid Robot [PDF]

, 2010
In the paper, a novel moving object detection (MOD) algorithm is developed and integrated with robot visual Simultaneous Localization and Mapping (vSLAM).
Rung-Chi Ju, Yin-Tien Wang, Ming-Chun Lin   +2 more
core   +2 more sources

Small object detection method [PDF]

, 2022
In computer vision, significant advances have been made on object detection with the rapid development of deep convolutional neural networks (CNN)/ When it comes to small objects?
Gourinovitch, A., Tang, Yi
core   +1 more source

Focus-and-Detect: A small object detection framework for aerial images

Signal Processing: Image Communication, 2022
Despite recent advances, object detection in aerial images is still a challenging task. Specific problems in aerial images makes the detection problem harder, such as small objects, densely packed objects, objects in different sizes and with different orientations.
Onur Can Koyun, Reyhan Kevser Keser, Ibrahim Batuhan Akkaya, Behçet Ugur Töreyin   +3 more
openaire   +5 more sources

DEPA-YOLO：Drone-Based Small Object Detection Model [PDF]

Jisuanji kexue yu tansuo
In response to the challenges of small object detection from the UAV perspective, including dense target distribution, complex background interference, and insufficient feature resolution, this paper proposes an improved model based on YOLOv10, named ...
LIU Chenjie, LIU Wei, YANG Wendi, WANG Cheng
doaj   +1 more source

Augmentation for small object detection

9th International Conference on Advances in Computing and Information Technology (ACITY 2019), 2019
In recent years, object detection has experienced impressive progress. Despite these improvements, there is still a significant gap in the performance between the detection of small and large objects. We analyze the current state-of-the-art model, Mask-RCNN, on a challenging dataset, MS COCO.
Mate Kisantal, Zbigniew Wojna, Jakub Murawski, Jacek Naruniec, Kyunghyun Cho   +4 more
openaire   +2 more sources

Adaptive Feature Fusion for Small Object Detection

Applied Sciences, 2022
In order to alleviate the situation that small objects are prone to missed detection and false detection in natural scenes, this paper proposed a small object detection algorithm for adaptive feature fusion, referred to as MMF-YOLO.
Qi Zhang, Hongying Zhang, Xiuwen Lu
doaj   +1 more source

TranSDet: Toward Effective Transfer Learning for Small-Object Detection

, 2023
Small-object detection is a challenging task in computer vision due to the limited training samples and low-quality images. Transfer learning, which transfers the knowledge learned from a large dataset to a small dataset, is a popular method for ...
Kang Liu, Yan Ma, Hong Bao, Hailan Zhang, Xinkai Xu, Xu Qian   +5 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

Towards Large-Scale Small Object Detection: Survey and Benchmarks [PDF]

, 2023
With the rise of deep convolutional neural networks, object detection has achieved prominent advances in past years. However, such prosperity could not camouflage the unsatisfactory situation of Small Object Detection (SOD), one of the notoriously ...
Xie, Xingxing, Cheng, Gong, Yuan, Xiang, Yan, Kebing, Han, Junwei, Yao, Xiwen, Zeng, Qinghua   +6 more
core   +1 more source

Small Object Detection via Pixel Level Balancing With Applications to Blood Cell Detection

Frontiers in Physiology, 2022
Object detection technology has been widely used in medical field, such as detecting the images of blood cell to count the changes and distribution for assisting the diagnosis of diseases.
Bin Hu, Yang Liu, Yang Liu, Pengzhi Chu, Minglei Tong, Qingjie Kong   +5 more
doaj   +1 more source