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05/24/2023
InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition
The local and global features are both essential for automatic speech re...
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05/23/2023
Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding
Attention-based encoder-decoder (AED) models have shown impressive perfo...
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05/21/2023
Unsupervised Multi-view Pedestrian Detection
With the prosperity of the video surveillance, multiple visual sensors h...
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04/06/2023
VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision
Detecting pedestrians accurately in urban scenes is significant for real...
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08/26/2022
Arbitrary Shape Text Detection via Segmentation with Probability Maps
Arbitrary shape text detection is a challenging task due to the signific...
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07/15/2022
Boosting Multi-Modal E-commerce Attribute Value Extraction via Unified Learning Scheme and Dynamic Range Minimization
With the prosperity of e-commerce industry, various modalities, e.g., vi...
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05/11/2022
Arbitrary Shape Text Detection via Boundary Transformer
Arbitrary shape text detection is a challenging task due to its complexi...
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05/07/2022
Graph Fusion Network for Multi-Oriented Object Detection
In object detection, non-maximum suppression (NMS) methods are extensive...
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04/12/2022
Open-set Text Recognition via Character-Context Decoupling
The open-set text recognition task is an emerging challenge that require...
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03/12/2022
Kernel Proposal Network for Arbitrary Shape Text Detection
Segmentation-based methods have achieved great success for arbitrary sha...
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03/10/2022
Towards Open-Set Text Recognition via Label-to-Prototype Learning
Scene text recognition is a popular topic and can benefit various tasks....
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12/24/2021
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification
Learning a common latent embedding by aligning the latent spaces of cros...
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09/14/2021
Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition
Non-autoregressive (NAR) transformer models have been studied intensivel...
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07/27/2021
Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
Arbitrary shape text detection is a challenging task due to the high com...
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10/27/2020
End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
License plate detection is the first and essential step of the license p...
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10/24/2020
RUArt: A Novel Text-Centered Solution for Text-Based Visual Question Answering
Text-based visual question answering (VQA) requires to read and understa...
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10/21/2020
Mutual-Supervised Feature Modulation Network for Occluded Pedestrian Detection
State-of-the-art pedestrian detectors have achieved significant progress...
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03/17/2020
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
Arbitrary shape text detection is a challenging task due to the high var...
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10/10/2017
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition
Recognizing text in the wild is a really challenging task because of com...
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06/04/2014
Learning to Diversify via Weighted Kernels for Classifier Ensemble
Classifier ensemble generally should combine diverse component classifie...
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01/11/2013
