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End-to-End Semi-Supervised approach with Modulated Object Queries for
  Table Detection in Documents

End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents

8 May 2024
Iqraa Ehsan
Tahira Shehzadi
Didier Stricker
Muhammad Zeshan Afzal
    LMTD
ArXivPDFHTML

Papers citing "End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents"

4 / 4 papers shown
Title
Towards End-to-End Semi-Supervised Table Detection with Deformable
  Transformer
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer
Tahira Shehzadi
K. Hashmi
D. Stricker
Marcus Liwicki
Muhammad Zeshan Afzal
ViT
LMTD
21
9
0
04 May 2023
FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature
  Augmentation
FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation
Rongyao Fang
Peng Gao
Aojun Zhou
Yingjie Cai
Si Liu
Jifeng Dai
Hongsheng Li
ViT
42
9
0
02 Mar 2023
PubTables-1M: Towards comprehensive table extraction from unstructured
  documents
PubTables-1M: Towards comprehensive table extraction from unstructured documents
B. Smock
Rohith Pesala
Robin Abraham
LMTD
27
96
0
30 Sep 2021
CDeC-Net: Composite Deformable Cascade Network for Table Detection in
  Document Images
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
Madhav Agarwal
Ajoy Mondal
C. V. Jawahar
32
61
0
25 Aug 2020
1