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08/30/2023
Introducing Language Guidance in Prompt-based Continual Learning
Continual Learning aims to learn a single model on a sequence of tasks w...
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06/23/2023
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images
This paper takes an important step in bridging the performance gap betwe...
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06/07/2023
2D Object Detection with Transformers: A Review
Astounding performance of Transformers in natural language processing (N...
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05/04/2023
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer
Table detection is the task of classifying and localizing table objects ...
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04/27/2023
Robust and Fast Vehicle Detection using Augmented Confidence Map
Vehicle detection in real-time scenarios is challenging because of the t...
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12/05/2022
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
Recent works have shown that unstructured text (documents) from online s...
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10/20/2022
Learning Attention Propagation for Compositional Zero-Shot Learning
Compositional zero-shot learning aims to recognize unseen compositions o...
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04/28/2022
SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion
Depth completion involves recovering a dense depth map from a sparse map...
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04/29/2021
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks
The first phase of table recognition is to detect the tabular area in a ...
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04/21/2021
Guided Table Structure Recognition through Anchor Optimization
This paper presents the novel approach towards table structure recogniti...
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11/03/2017
Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines
This paper presents an approach for real-time training and testing for d...
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03/19/2017
TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network
In this work, we present the Text Conditioned Auxiliary Classifier Gener...
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03/19/2017
