Results 31 to 40 of about 2,715,607 (290)

LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach

Frontiers in Marine Science
Underwater object detection plays a significant role in fisheries resource assessment and ecological environment protection. However, traditional underwater object detection methods struggle to achieve accurate detection in complex underwater ...
Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin   +5 more
doaj   +1 more source

Perceptual Generative Adversarial Networks for Small Object Detection

, 2017
Detecting small objects is notoriously challenging due to their low resolution and noisy representation. Existing object detection pipelines usually detect small objects through learning representations of all the objects at multiple scales. However, the
Feng, Jiashi, Li, Jianan, Liang, Xiaodan, Wei, Yunchao, Xu, Tingfa, Yan, Shuicheng   +5 more
core   +1 more source

An Asymptotic Formalism for Reconstructing Small Perturbations of Scatterers from Electric or Acoustic Far-Field Measurements [PDF]

, 2007
We consider the problem of determining the boundary perturbations of an object from far-field electric or acoustic measurements. Assuming that the unknown object boundary is a small perturbation of a circle, we develop a linearized relation between the ...
Abrohmwitz, Ammari, Coifman, Colton, Kaup, Milder, Nicholls, Tolmasky   +7 more
core   +3 more sources

DroneNet: Rescue Drone-View Object Detection

Drones, 2023
Recently, the research on drone-view object detection (DOD) has predominantly centered on efficiently identifying objects through cropping high-resolution images. However, it has overlooked the distinctive challenges posed by scale imbalance and a higher
Xiandong Wang, Fengqin Yao, Ankun Li, Zhiwei Xu, Laihui Ding, Xiaogang Yang, Guoqiang Zhong, Shengke Wang   +7 more
doaj   +1 more source

LGC-YOLO: Local-Global Feature Extraction and Coordination Network With Contextual Interaction for Remote Sensing Object Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Object detection in high-resolution remote sensing image (HRRSI) faces great challenges of large-scale variations in object size, densely distributed small objects, and complex background interferences.
Qinggang Wu, Yang Li, Junru Yin, Xiaotian You   +3 more
doaj   +1 more source

UAV Image Small Object Detection Based on RSAD Algorithm

Applied Sciences, 2023
There are many small objects in UAV images, and the object scale varies greatly. When the SSD algorithm detects them, the backbone network’s feature extraction capabilities are poor; it does not fully utilize the semantic information in the deeper ...
Jian Song, Zhihong Yu, Guimei Qi, Qiang Su, Jingjing Xie, Wenhang Liu   +5 more
doaj   +1 more source

On Pairwise Costs for Network Flow Multi-Object Tracking [PDF]

, 2015
Multi-object tracking has been recently approached with the min-cost network flow optimization techniques. Such methods simultaneously resolve multiple object tracks in a video and enable modeling of dependencies among tracks.
Chari, Visesh, Lacoste-Julien, Simon, Laptev, Ivan, Sivic, Josef   +3 more
core   +1 more source

Fire-RPG: An Urban Fire Detection Network Providing Warnings in Advance

Fire
Urban fires are characterized by concealed ignition points and rapid escalation, making the traditional methods of detecting early stage fire accidents inefficient.
Xiangsheng Li, Yongquan Liang
doaj   +1 more source

A Novel Method of Small Object Detection in UAV Remote Sensing Images Based on Feature Alignment of Candidate Regions

Drones, 2022
To solve the problem of low detection accuracy of small objects in UAV optical remote sensing images due to low contrast, dense distribution, and weak features, this paper proposes a small object detection method based on feature alignment of candidate ...
Jinkang Wang, Faming Shao, Xiaohui He, Guanlin Lu   +3 more
doaj   +1 more source

Shrink Wrapping Small Objects

2015 12th Conference on Computer and Robot Vision, 2015
We consider the problem of scanning and modelling small objects using easily available RGBD sensors such as the Kinect. These sensors allow for the acquisition of view-based registered depth and color data. We register the point clouds by recovering the rigid transformation between successive pairs in a sequence of views, and then demonstrate the ...
Sricharana Rajagopal, Kaleem Siddiqi
openaire   +2 more sources