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Deep learning-based detection from the perspective of small or tiny objects: A survey
K Tong, Y Wu - Image and Vision Computing, 2022 - Elsevier
Detecting small or tiny objects is always a difficult and challenging issue in computer vision.
In this paper, we provide a latest and comprehensive survey of deep learning-based …
In this paper, we provide a latest and comprehensive survey of deep learning-based …
[HTML][HTML] Investigations of object detection in images/videos using various deep learning techniques and embedded platforms—A comprehensive review
In recent years there has been remarkable progress in one computer vision application
area: object detection. One of the most challenging and fundamental problems in object …
area: object detection. One of the most challenging and fundamental problems in object …
[HTML][HTML] A full data augmentation pipeline for small object detection based on generative adversarial networks
Object detection accuracy on small objects, ie, objects under 32× 32 pixels, lags behind that
of large ones. To address this issue, innovative architectures have been designed and new …
of large ones. To address this issue, innovative architectures have been designed and new …
Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons
With the advancement of maritime unmanned aerial vehicles (UAVs) and deep learning
technologies, the application of UAV-based object detection has become increasingly …
technologies, the application of UAV-based object detection has become increasingly …
Intensive review of drones detection and tracking: Linear Kalman filter versus nonlinear regression, an analysis case
In this paper, an extensive review for objects and drones (AUVs) detection and tracking is
presented. The article presents state of the art methods used in detection and tracking of …
presented. The article presents state of the art methods used in detection and tracking of …
A denoising fpn with transformer r-cnn for tiny object detection
Despite notable advancements in the field of computer vision (CV), the precise detection of
tiny objects continues to pose a significant challenge, largely due to the minuscule pixel …
tiny objects continues to pose a significant challenge, largely due to the minuscule pixel …
Small object detection in unmanned aerial vehicle images using multi-scale hybrid attention
G Song, H Du, X Zhang, F Bao, Y Zhang - Engineering Applications of …, 2024 - Elsevier
Small object detection in unmanned aerial vehicle images is always challenging due to the
low resolution and the limited amount of information that they contain. Many feature …
low resolution and the limited amount of information that they contain. Many feature …
Manipal-UAV person detection dataset: A step towards benchmarking dataset and algorithms for small object detection
Intelligent UAV video analysis has drawn the attention of many researchers due to the
increasing demand for unmanned aerial vehicles (UAVs) in computer vision-related …
increasing demand for unmanned aerial vehicles (UAVs) in computer vision-related …
[HTML][HTML] Marine vision-based situational awareness using discriminative deep learning: A survey
D Qiao, G Liu, T Lv, W Li, J Zhang - Journal of Marine Science and …, 2021 - mdpi.com
The primary task of marine surveillance is to construct a perfect marine situational
awareness (MSA) system that serves to safeguard national maritime rights and interests and …
awareness (MSA) system that serves to safeguard national maritime rights and interests and …
THFE: A Triple-hierarchy Feature Enhancement method for tiny boat detection
In boat navigation, especially in complex sea conditions, the detection performance of the
tiny boat is related to the safety of boat sailing. However, due to the tiny boat occupying …
tiny boat is related to the safety of boat sailing. However, due to the tiny boat occupying …