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08/14/2023
Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning
Due to the flexible representation of arbitrary-shaped scene text and si...
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07/24/2023
MataDoc: Margin and Text Aware Document Dewarping for Arbitrary Boundary
Document dewarping from a distorted camera-captured image is of great va...
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06/29/2023
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation
One of the mainstream schemes for 2D human pose estimation (HPE) is lear...
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06/05/2023
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
Structured text extraction is one of the most valuable and challenging a...
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05/19/2023
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
Transformers achieve promising performance in document understanding bec...
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03/01/2023
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training
In this paper, we present StrucTexTv2, an effective document image pre-t...
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11/17/2022
CAE v2: Context Autoencoder with CLIP Target
Masked image modeling (MIM) learns visual representation by masking and ...
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11/07/2022
Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining
We present a strong object detector with encoder-decoder pretraining and...
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08/31/2022
TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers
Table structure recognition is a crucial part of document image analysis...
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07/15/2022
Decoupling Recognition from Detection: Single Shot Self-Reliant Scene Text Spotter
Typical text spotters follow the two-stage spotting strategy: detect the...
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06/01/2022
MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining
In this paper, we present a model pretraining technique, named MaskOCR, ...
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03/31/2022
ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval
Visual appearance is considered to be the most important cue to understa...
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08/06/2021
StrucTexT: Structured Text Understanding with Multi-Modal Transformers
Structured text understanding on Visually Rich Documents (VRDs) is a cru...
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10/31/2018
Compressing physical properties of atomic species for improving predictive chemistry
The answers to many unsolved problems lie in the intractable chemical sp...
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12/19/2017
Metadynamics for Training Neural Network Model Chemistries: a Competitive Assessment
Neural network (NN) model chemistries (MCs) promise to facilitate the ac...
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09/22/2016