MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection

MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection

Abstract Objective Detecting small, faraway objects in real-time surveillance is challenging due to limited pixel representation, affecting classifier performance. Deep Learning (DL) techniques generate feature maps to enhance detection, but conventional methods suffer from high computational costs....

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Bibliographic Details
Main Authors: Thulasi Bikku, K. P. N. V. Satya Sree, Srinivasarao Thota, Malligunta Kiran Kumar, P. Shanmugasundaram
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Research Notes
Subjects:
Small object detection
Deep learning (DL)
Pre-processing
Reinforcement learning (RL)
And feature pyramid network (FPN)
Online Access:https://doi.org/10.1186/s13104-025-07263-7
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