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Msfe-Panet: Improved Yolov4-Based Small Object Detection Method in Complex Scenes

https://doi.org/10.2139/ssrn.4186484
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6/6 checkable references clean · checked 2026-08-27

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

31 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 6 checked references that resolve
resolves10.1016/j.neucom.2020.01.085
Recent advances in deep learning for object detection
resolves10.1109/CVPR.2005.177
Histograms of Oriented Gradients for Human Detection
resolves10.1016/S0167-8655(00)00083-0
Detection and classification of lobular and DCIS (small cell) microcalcifications in digital mammograms
resolves10.1109/LSP.2016.2603342
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
resolves10.1109/ACCESS.2020.3046515
YOLO-ACN: Focusing on Small Target and Occluded Object Detection
resolves10.1007/978-3-030-01264-9_45
CornerNet: Detecting Objects as Paired Keypoints
The 31 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedA discriminatively trained, multiscale, deformable part model
no DOI — not checkedref5
no DOI — not checkedref6
no DOI — not checkedref7
no DOI — not checkedYou only look once: Unified, real-time object detection
no DOI — not checkedref10
no DOI — not checkedref11
no DOI — not checkedref12
no DOI — not checkedCutmix: Regularization strategy to train strong classifiers with localizable features
no DOI — not checkedCspnet: A new backbone that can enhance learning capability of CNN
no DOI — not checkedref15
no DOI — not checkedLearning data augmentation strategies for object detection
no DOI — not checkedref17
no DOI — not checkedFeature pyramid networks for object detection
no DOI — not checkedref19
no DOI — not checkedAugfpn: Improving multiscale feature learning for object detection
no DOI — not checkedref21
no DOI — not checkedAttention-yolo: Yolo detection algorithm that introduces attention mechanism networks
no DOI — not checkedAn improved small object detection algorithm based on attention mechanism and feature fusion
no DOI — not checkedref25
no DOI — not checkedCBAM: convolutional block attention module
no DOI — not checkedref28
no DOI — not checkedFocal loss for dense object detection
no DOI — not checkedref30
no DOI — not checkedFeature pyramid networks for object detection
no DOI — not checkedref32
no DOI — not checkedCascade R-CNN: delving into high quality object detection
no DOI — not checkedRrnet: A hybrid detector for object detection in drone-captured images
no DOI — not checkedClustered object detection in aerial images
no DOI — not checkedTph-yolov5: Improved yolov5 based on transformer prediction head for object detection on drone-captured scenarios
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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