Long-distance tiny face detection based on enhanced YOLOv3 for unmanned system

2020-10-09 · Jia-Yi Chang, Yan-Feng Lu, Ya-Jun Liu, Bo Zhou, Hong Qiao

Remote tiny face detection applied in unmanned system is a challeng-ing work. The detector cannot obtain sufficient context semantic information due to the relatively long distance. The received poor fine-grained features make the face detection less accurate and robust. To solve the problem of long-distance detection of tiny faces, we propose an enhanced network model (YOLOv3-C) based on the YOLOv3 algorithm for unmanned platform. In this model, we bring in multi-scale features from feature pyramid networks and make the features fu-sion to adjust prediction feature map of the output, which improves the sensitivity of the entire algorithm for tiny target faces. The enhanced model improves the accuracy of tiny face detection in the cases of long-distance and high-density crowds. The experimental evaluation results demonstrated the superior perfor-mance of the proposed YOLOv3-C in comparison with other relevant detectors in remote tiny face detection. It is worth mentioning that our proposed method achieves comparable performance with the state of the art YOLOv4[1] in the tiny face detection tasks.

📄 PDF Abstract BibTeX arXiv:2010.04421

Code (0)

등록된 구현이 없습니다.

Tasks

Face Detection

Methods 이 논문이 사용한 방법론

Average Pooling 설명 없음

Global Average Pooling Global Average Pooling is a pooling operation designed to replace fully connected layers in classical CNNs. The idea is to generate one feature map for each corresponding…

1x1 Convolution A 1 x 1 Convolution is a convolution with some special properties in that it can be used for dimensionality reduction,…

k-Means Clustering k-Means Clustering is a clustering algorithm that divides a training set into $k$ different clusters of examples that are near each other. It works by initializing $k$…

Batch Normalization 설명 없음

Logistic Regression Logistic Regression, despite its name, is a linear model for classification rather than regression. Logistic regression is also known in the literature as logit regression,…

Residual Connection 설명 없음

Softmax The Softmax output function transforms a previous layer's output into a vector of probabilities. It is commonly used for multiclass classification. Given an input vector $x$…

SME-YOLO: A Real-Time Detector for Tiny Defect Detection on PCB Surfaces

2026-01-16 · Meng Han arxiv

Surface defects on Printed Circuit Boards (PCBs) directly compromise product reliability and safety. However, achieving high-precision detection is challenging because PCB defects are typically characterized by tiny size…

MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection

2022-09-28 · Tianhao Wu, Boyang Li, Yihang Luo, Yingqian Wang 외

Space-based infrared tiny ship detection aims at separating tiny ships from the images captured by earth orbiting satellites. Due to the extremely large image coverage area (e.g., thousands square kilometers), candidate …

A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

2021-10-26 · Jinwang Wang, Chang Xu, Wen Yang, Lei Yu

Detecting tiny objects is a very challenging problem since a tiny object only contains a few pixels in size. We demonstrate that state-of-the-art detectors do not produce satisfactory results on tiny objects due to the l…

Object object-detection Object Detection Small Object Detection

Scale Match for Tiny Person Detection

2019-12-23 · Xuehui Yu, Yuqi Gong, Nan Jiang, Qixiang Ye 외

Visual object detection has achieved unprecedented ad-vance with the rise of deep convolutional neural networks.However, detecting tiny objects (for example tiny per-sons less than 20 pixels) in large-scale images remain…

Human Detection Object object-detection Object Detection

Patch-based Selection and Refinement for Early Object Detection

2023-11-03 · Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li 외

Early object detection (OD) is a crucial task for the safety of many dynamic systems. Current OD algorithms have limited success for small objects at a long distance. To improve the accuracy and efficiency of such a task…

Object object-detection Object Detection