MAF-YOLO: Multi-modal attention fusion based YOLO for pedestrian detection

Pedestrian Detection Using Multispectral Images and a Deep Neural Network

(2021) Jason Nataprawira et al.   SENSORS

Pedestrian detection in underground mines via parallel feature transfer network

(2020) Xing Wei et al.   PATTERN RECOGNITION

A multi-task Faster R-CNN method for 3D vehicle detection based on a single image

(2020) Wankou Yang et al.   APPLIED SOFT COMPUTING

Multi-modal recognition of worker activity for human-centered intelligent manufacturing

(2020) Wenjin Tao et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Fish species recognition using an improved AlexNet model

(2020) Zhiyong Ju et al.   OPTIK

Detection of ships in inland river using high-resolution optical satellite imagery based on mixture of deformable part models

(2019) Pengfei Song et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Multi-modal foreground detection via inter- and intra-modality-consistent low-rank separation

(2019) Aihua Zheng et al.   NEUROCOMPUTING

Improved localization accuracy by LocNet for Faster R-CNN based text detection in natural scene images

(2019) Zhuoyao Zhong et al.   PATTERN RECOGNITION

Attention guided neural network models for occluded pedestrian detection

(2019) Tengtao Zou et al.   PATTERN RECOGNITION LETTERS

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Recognition of pedestrian activity based on dropped-object detection

(2018) Weidong Min et al.   SIGNAL PROCESSING

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-modal fusion network with multi-scale multi-path and cross-modal interactions for RGB-D salient object detection

(2018) Hao Chen et al.   PATTERN RECOGNITION

Illumination-aware faster R-CNN for robust multispectral pedestrian detection

(2018) Chengyang Li et al.   PATTERN RECOGNITION

Pedestrian intention prediction based on dynamic fuzzy automata for vehicle driving at nighttime

(2017) Joon-Young Kwak et al.   INFRARED PHYSICS & TECHNOLOGY

Pedestrian detection based on gradient and texture feature integration

(2017) Chun-Hou Zheng et al.   NEUROCOMPUTING

A new multi-modal approach to bib number/text detection and recognition in Marathon images

(2017) Palaiahnakote Shivakumara et al.   PATTERN RECOGNITION

Design of coupled strong classifiers in AdaBoost framework and its application to pedestrian detection

(2015) Kang-Kook Kong et al.   PATTERN RECOGNITION LETTERS

Multi-spectral pedestrian detection

(2015) Yuan Yuan et al.   SIGNAL PROCESSING

Robust object detection based on deformable part model and improved scale invariant feature transform

(2013) Jianfang Dou et al.   OPTIK

Car detection in sequences of images of urban environments using mixture of deformable part models

(2013) Leissi Castañeda León et al.   PATTERN RECOGNITION LETTERS