Reference health

Long- and Short-Term Storage Enhanced Video Object Recognition Model

https://doi.org/10.2139/ssrn.4196888
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12/12 checkable references clean · checked 2026-08-29

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.

22 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 12 checked references that resolve
resolves10.1109/ACCESS.2021.3118541
Video Processing Using Deep Learning Techniques: A Systematic Literature Review
resolves10.1109/TITS.2020.3015530
Residual-Network-Leveraged Vehicle-Thrown-Waste Identification in Real-Time Traffic Surveillance Videos
resolves10.1109/TPAMI.2020.2968521
Residual Dense Network for Image Restoration
resolves10.1109/TCSVT.2017.2736553
T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos
resolves10.1609/aaai.v34i07.6836
TEINet: Towards an Efficient Architecture for Video Recognition
resolves10.1109/ICCV.2015.169
Fast R-CNN
resolves10.1109/TPAMI.2016.2577031
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
resolves10.1109/ACCESS.2019.2927169
A Dilated CNN Model for Image Classification
resolves10.3233/JIFS-202696
The enhanced deep Plug-and-play super-resolution algorithm with residual channel attention networks
resolves10.1007/s11554-022-01215-1
Fast identification model for coal and gangue based on the improved tiny YOLO v3
resolves10.1109/TMM.2020.3042077
Temporal Action Localization Using Long Short-Term Dependency
resolves10.1007/978-3-642-24797-2_4
Long Short-Term Memory
The 22 references without a DOI — listed, not checked
no DOI — not checkedSpatio-temporal representation factorization for video-based person re-identification
no DOI — not checkedVideo-based vehicle re-identification via channel decomposition saliency region network
no DOI — not checkedNew generation deep learning for video object detection: A survey
no DOI — not checkedref6
no DOI — not checkedref7
no DOI — not checkedSlowfast networks for video recognition
no DOI — not checkedDetectand-track: Efficient pose estimation in videos
no DOI — not checkedMining inter-video proposal relations for video object detection
no DOI — not checkedref13
no DOI — not checkedMobile video object detection with temporallyaware feature maps
no DOI — not checkedref16
no DOI — not checkedFully motion-aware network for video object detection
no DOI — not checkedref18
no DOI — not checkedref19
no DOI — not checkedTowards high performance video object detection
no DOI — not checkedref23
no DOI — not checkedYOLO9000: Better, faster, stronger
no DOI — not checkedref25
no DOI — not checkedref26
no DOI — not checkedref30
no DOI — not checkedMemory enhanced globallocal aggregation for video object detection
no DOI — not checkedAttention branch network: Learning of attention mechanism for visual explanation
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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