Results 21 to 30 of about 7,363,707 (395)
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios [PDF]
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021 Object detection on drone-captured scenarios is a recent popular task. As drones always navigate in different altitudes, the object scale varies violently, which burdens the optimization of networks.
Xingkui Zhu +3 more
semanticscholar +1 more source
Feature Pyramid Networks for Object Detection [PDF]
Computer Vision and Pattern Recognition, 2016 Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in recent object detectors that are based on deep convolutional networks, partially because they are ...
Tsung-Yi Lin +5 more
semanticscholar +1 more source
Survey of One-Stage Small Object Detection Methods in Deep Learning [PDF]
Jisuanji kexue yu tansuo, 2022 With the development of deep learning, object detection technology has gradually changed from traditional manual detection methods to deep neural network detection methods.
LI Kecen, WANG Xiaoqiang, LIN Hao, LI Leixiao, YANG Yanyan, MENG Chuang, GAO Jing
doaj +1 more source
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN have reduced the running time of these detection networks, exposing region proposal computation as a ...
Shaoqing Ren +3 more
semanticscholar +1 more source
Multi-Object Detection Using YOLOv7 Object Detection Algorithm on Mobile Device
Journal of Applied Engineering and Technological Science, 2023 This research discusses the importance of enhancing real-time object detection on mobile devices by introducing a new multi-object detection system that uses the quantified YOLOv7 model.
Patricia Citranegara Kusuma +1 more
doaj +1 more source
You Only Look Once: Unified, Real-Time Object Detection [PDF]
Computer Vision and Pattern Recognition, 2015 We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class ...
Joseph Redmon +3 more
semanticscholar +1 more source
Review of Research on Imbalance Problem in Deep Learning Applied to Object Detection [PDF]
Jisuanji kexue yu tansuo, 2022 The current scheme of manually extracting features for object detection has been replaced by deep learning. Deep learning technology has greatly promoted the development of object detection technology.
REN Ning, FU Yan, WU Yanxia, LIANG Pengju, HAN Xi
doaj +1 more source
Real-Time Flying Object Detection with YOLOv8 [PDF]
arXiv.org, 2023 This paper presents a generalized model for real-time detection of flying objects that can be used for transfer learning and further research, as well as a refined model that achieves state-of-the-art results for flying object detection.
Dillon Reis +3 more
semanticscholar +1 more source
PointPillars: Fast Encoders for Object Detection From Point Clouds [PDF]
Computer Vision and Pattern Recognition, 2018 Object detection in point clouds is an important aspect of many robotics applications such as autonomous driving. In this paper, we consider the problem of encoding a point cloud into a format appropriate for a downstream detection pipeline.
Alex H. Lang +5 more
semanticscholar +1 more source
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking [PDF]
Computer Vision and Pattern Recognition, 2023 3D object detectors usually rely on hand-crafted proxies, e.g., anchors or centers, and translate well-studied 2D frameworks to 3D. Thus, sparse voxel features need to be densified and processed by dense prediction heads, which inevitably costs extra ...
Yukang Chen +4 more
semanticscholar +1 more source