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04/10/2023
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction
Temporal relation prediction in incomplete temporal knowledge graphs (TK...
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01/29/2023
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration
The great success of Deep Neural Networks (DNNs) has inspired the algori...
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08/30/2022
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification
With the rapid development of automatic fake news detection technology, ...
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08/27/2022
Multi-Outputs Is All You Need For Deblur
Image deblurring task is an ill-posed one, where exists infinite feasibl...
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01/16/2022
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples
Unsupervised sentence embedding aims to obtain the most appropriate embe...
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08/02/2021
RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning
Skeleton-based Graph Convolutional Networks (GCNs) models for action rec...
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05/29/2020
Fixed-size Objects Encoding for Visual Relationship Detection
In this paper, we propose a fixed-size object encoding method (FOE-VRD) ...
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11/27/2019
Towards Precise End-to-end Weakly Supervised Object Detection Network
It is challenging for weakly supervised object detection network to prec...
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07/23/2019
Heavy-ball Algorithms Always Escape Saddle Points
Nonconvex optimization algorithms with random initialization have attrac...
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06/05/2019
Visual Confusion Label Tree For Image Classification
Convolution neural network models are widely used in image classificatio...
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06/04/2019
Visual Tree Convolutional Neural Network in Image Classification
In image classification, Convolutional Neural Network(CNN) models have a...
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02/26/2019
IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition
Effective spatiotemporal feature representation is crucial to the video-...
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02/14/2019
Exploring Frame Segmentation Networks for Temporal Action Localization
Temporal action localization is an important task of computer vision. Th...
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11/16/2018
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks
The past few years have witnessed the fast development of different regu...
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07/17/2018
Learning Generic Diffusion Processes for Image Restoration
Image restoration problems are typical ill-posed problems where the regu...
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08/10/2017
Exploring Temporal Preservation Networks for Precise Temporal Action Localization
Temporal action localization is an important task of computer vision. Th...
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02/24/2017