On the public citation graph

HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images

https://doi.org/10.3390/math13020266
0 signed · 45 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58452-8_13openalex-snapshot
End-to-End Object Detection with Transformers
inferredcites →https://doi.org/10.1007/978-3-030-68787-8_25openalex-snapshot
Weakly Supervised Bounding Box Extraction for Unlabeled Data in Table Detection
inferredcites →https://doi.org/10.1007/978-3-031-41679-8_4openalex-snapshot
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer
inferredcites →https://doi.org/10.1007/s00371-024-03561-6openalex-snapshot
Dual-branch dilated context convolutional for table detection transformer in the document images
inferredcites →https://doi.org/10.1007/s00521-023-09339-6openalex-snapshot
Customer profiling, segmentation, and sales prediction using AI in direct marketing
inferredcites →https://doi.org/10.1007/s10032-021-00390-4openalex-snapshot
TableSegNet: a fully convolutional network for table detection and segmentation in document images
inferredcites →https://doi.org/10.1016/j.cogsys.2020.04.002openalex-snapshot
Measuring text similarity based on structure and word embedding
inferredcites →https://doi.org/10.1016/j.image.2022.116827openalex-snapshot
KOHTD: Kazakh offline handwritten text dataset
inferredcites →https://doi.org/10.1016/j.neucom.2021.11.101openalex-snapshot
TNCR: Table net detection and classification dataset
inferredcites →https://doi.org/10.1016/j.patcog.2013.08.009openalex-snapshot
KHATT: An open Arabic offline handwritten text database
inferredcites →https://doi.org/10.1016/j.patcog.2022.108641openalex-snapshot
Table detection in business document images by message passing networks
inferredcites →https://doi.org/10.1016/j.patcog.2022.109006openalex-snapshot
Robust Table Detection and Structure Recognition from Heterogeneous Document Images
inferredcites →https://doi.org/10.1038/s41597-023-01985-8openalex-snapshot
A large-scale dataset for end-to-end table recognition in the wild
inferredcites →https://doi.org/10.1109/access.2024.3520160openalex-snapshot
Incorporating Imaging, Clinical, Pathology, and Demographic Markers for Hormonal Therapy Prediction in Prostate Cancer
inferredcites →https://doi.org/10.1109/cac59555.2023.10450216openalex-snapshot
Table Detection in Complex Layouts
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00075openalex-snapshot
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01325openalex-snapshot
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01553openalex-snapshot
Masked Autoencoders Are Scalable Vision Learners
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00294openalex-snapshot
CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
inferredcites →https://doi.org/10.1109/iccv48922.2021.00363openalex-snapshot
Conditional DETR for Fast Training Convergence
inferredcites →https://doi.org/10.1109/iccv48922.2021.00950openalex-snapshot
An Empirical Study of Training Self-Supervised Vision Transformers
inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-snapshot
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
inferredcites →https://doi.org/10.1109/icdar.2017.131openalex-snapshot
Table Detection Using Deep Learning
inferredcites →https://doi.org/10.1109/icdar.2019.00243openalex-snapshot
ICDAR 2019 Competition on Table Detection and Recognition (cTDaR)
inferredcites →https://doi.org/10.1109/icpr48806.2021.9411922openalex-snapshot
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
inferredcites →https://doi.org/10.1109/wacv48630.2021.00074openalex-snapshot
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context
inferredcites →https://doi.org/10.1145/3503161.3547911openalex-snapshot
DiT: Self-supervised Pre-training for Document Image Transformer
inferredcites →https://doi.org/10.1145/3505243openalex-snapshot
A Survey on Deep Learning for Software Engineering
inferredcites →https://doi.org/10.1145/3578938openalex-snapshot
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
inferredcites →https://doi.org/10.1145/3626772.3657889openalex-snapshot
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
inferredcites →https://doi.org/10.1145/3657281openalex-snapshot
Deep Learning for Table Detection and Structure Recognition: A Survey
inferredcites →https://doi.org/10.3390/informatics11040077openalex-snapshot
TableExtractNet: A Model of Automatic Detection and Recognition of Table Structures from Unstructured Documents
inferredcites →https://doi.org/10.3390/su16145845openalex-snapshot
The Economic Dynamics of Desktop and Mobile Customer Analytics in Advancing Digital Branding Strategies: Insights from the Agri-Food Industry
inferredcites →https://doi.org/10.48550/arxiv.2106.09681openalex-snapshot
XCiT: Cross-Covariance Image Transformers

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-09368-4_14openalex-snapshot
Deep Learning for Defect Detection in Answer Document Image
inferred← citeshttps://doi.org/10.1007/s44443-026-00668-9openalex-snapshot
DAORNet: Dense-attentive network for occlusion removal in light field images
inferred← citeshttps://doi.org/10.1038/s41598-025-20786-0openalex-snapshot
Learning to remove occlusions in light field images using multiscale receptive fields and feature pyramid networks
inferred← citeshttps://doi.org/10.1038/s41598-025-31654-2openalex-snapshot
Attention-guided hybrid learning for accurate defect classification in manufacturing environments
inferred← citeshttps://doi.org/10.1038/s41598-026-44325-7openalex-snapshot
SPARTAN: automated table detection and extraction from documents using advanced OpenCV heuristics and OCR techniques
inferred← citeshttps://doi.org/10.1109/iicai70155.2026.11620979openalex-snapshot
An Extended Table Detection Framework for Enhanced Recognition of Persian Tables in OCR Systems
inferred← citeshttps://doi.org/10.2139/ssrn.6412576openalex-snapshot
ViT-ConvNeXt: A hybrid Vision Transformer and ConvNeXt framework for classifying and conserving Meitei heritage textile designs
inferred← citeshttps://doi.org/10.3390/math13172748openalex-snapshot
U2-LFOR: A Two-Stage U2 Network for Light-Field Occlusion Removal
inferred← citeshttps://doi.org/10.3390/math14010025openalex-snapshot
Lightweight and Accurate Table Recognition via Improved SLANet with Multi-Phase Training Strategy
inferred← citeshttps://doi.org/10.3390/math14010187openalex-snapshot
KORIE: A Multi-Task Benchmark for Detection, OCR, and Information Extraction on Korean Retail Receipts
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.