b'Baidu, Inc.'

research

∙ 09/07/2021

PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System

Optical Character Recognition (OCR) systems have been widely used in var...

Yuning Du, et al. ∙

research

∙ 10/02/2020

Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop

We study the problem of balancing effectiveness and efficiency in automa...

Wei Fan, et al. ∙

research

∙ 09/20/2019

ACFNet: Attentional Class Feature Network for Semantic Segmentation

Recent works have made great progress in semantic segmentation by exploi...

Fan Zhang, et al. ∙

research

∙ 12/19/2019

Advanced Variations of Two-Dimensional Principal Component Analysis for Face Recognition

The two-dimensional principal component analysis (2DPCA) has become one ...

Meixiang Zhao, et al. ∙

research

∙ 11/13/2019

CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion

Depth Completion deals with the problem of converting a sparse depth map...

Xinjing Cheng, et al. ∙

research

∙ 04/06/2022

Structure-aware Protein Self-supervised Learning

Protein representation learning methods have shown great potential to yi...

Can Chen, et al. ∙

research

∙ 07/19/2021

Face.evoLVe: A High-Performance Face Recognition Library

In this paper, we develop face.evoLVe – a comprehensive library that col...

Qingzhong Wang, et al. ∙

research

∙ 05/08/2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

This paper reviews the NTIRE 2020 challenge on real image denoising with...

Abdelrahman Abdelhamed, et al. ∙

research

∙ 10/03/2019

Graph Analysis and Graph Pooling in the Spatial Domain

The spatial convolution layer which is widely used in the Graph Neural N...

Mostafa Rahmani, et al. ∙

research

∙ 09/17/2021

Discriminative Similarity for Data Clustering

Similarity-based clustering methods separate data into clusters accordin...

Yingzhen Yang, et al. ∙

research

∙ 12/03/2019

Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks

In the era of multimedia and Internet, people are eager to obtain inform...

Jun Jia, et al. ∙

research

∙ 06/02/2022

A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications

To understand human behaviors, action recognition based on videos is a c...

Fei Wu, et al. ∙

research

∙ 08/08/2021

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

Fast arbitrary neural style transfer has attracted widespread attention ...

Songhua Liu, et al. ∙

research

∙ 08/28/2019

CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing

Face anti-spoofing is essential to prevent face recognition systems from...

Shifeng Zhang, et al. ∙

research

∙ 06/25/2019

AGAN: Towards Automated Design of Generative Adversarial Networks

Recent progress in Generative Adversarial Networks (GANs) has shown prom...

Hanchao Wang, et al. ∙

research

∙ 07/31/2019

Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition

Video Recognition has drawn great research interest and great progress h...

Wenhao Wu, et al. ∙

research

∙ 09/20/2019

EATEN: Entity-aware Attention for Single Shot Visual Text Extraction

Extracting entity from images is a crucial part of many OCR applications...

He Guo, et al. ∙

research

∙ 07/16/2021

Property-aware Adaptive Relation Networks for Molecular Property Prediction

Molecular property prediction plays a fundamental role in drug discovery...

Yaqing Wang, et al. ∙

research

∙ 02/18/2022

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment

Glaucoma is the second leading cause of blindness and is the leading cau...

Huihui Fang, et al. ∙

research

∙ 09/21/2020

PP-OCR: A Practical Ultra Lightweight OCR System

The Optical Character Recognition (OCR) systems have been widely used in...

Yuning Du, et al. ∙

research

∙ 02/28/2020

Cross-modality Person re-identification with Shared-Specific Feature Transfer

Cross-modality person re-identification (cm-ReID) is a challenging but k...

Yan Lu, et al. ∙

research

∙ 10/16/2020

Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement

Fine-tuning deep neural networks pre-trained on large scale datasets is ...

Xingjian Li, et al. ∙

research

∙ 09/09/2021

Single Image 3D Object Estimation with Primitive Graph Networks

Reconstructing 3D object from a single image (RGB or depth) is a fundame...

Qian He, et al. ∙

research

∙ 10/24/2021

Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness

As one of the most popular generative models, Variational Autoencoder (V...

Dazhong Shen, et al. ∙

research

∙ 02/16/2022

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images

Age-related macular degeneration (AMD) is the leading cause of visual im...

Huihui Fang, et al. ∙

research

∙ 06/30/2020

ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph

We propose a knowledge-enhanced approach, ERNIE-ViL, to learn joint repr...

Fei Yu, et al. ∙

research

∙ 08/09/2021

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction

Neural painting refers to the procedure of producing a series of strokes...

Songhua Liu, et al. ∙

research

∙ 09/09/2021

Extreme Bandits using Robust Statistics

We consider a multi-armed bandit problem motivated by situations where o...

Sujay Bhatt, et al. ∙

research

∙ 01/11/2022

MobileFaceSwap: A Lightweight Framework for Video Face Swapping

Advanced face swapping methods have achieved appealing results. However,...

Zhiliang Xu, et al. ∙

research

∙ 04/08/2022

On Distinctive Image Captioning via Comparing and Reweighting

Recent image captioning models are achieving impressive results based on...

Jiuniu Wang, et al. ∙

research

∙ 04/20/2022

PP-Matting: High-Accuracy Natural Image Matting

Natural image matting is a fundamental and challenging computer vision t...

Guowei Chen, et al. ∙

research

∙ 04/21/2021

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results

This paper reviews the first NTIRE challenge on quality enhancement of c...

Ren Yang, et al. ∙

research

∙ 08/17/2021

Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation

Remarkable results have been achieved by DCNN based self-supervised dept...

Lina Liu, et al. ∙

research

∙ 04/06/2022

MixFormer: Mixing Features across Windows and Dimensions

While local-window self-attention performs notably in vision tasks, it s...

Qiang Chen, et al. ∙

research

∙ 04/21/2022

SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space

Translation distance based knowledge graph embedding (KGE) methods, such...

Jinxing Yu, et al. ∙

research

∙ 10/26/2018

Fine-grained Video Categorization with Redundancy Reduction Attention

For fine-grained categorization tasks, videos could serve as a better so...

Chen Zhu, et al. ∙

research

∙ 09/17/2019

Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning

Most existing text reading benchmarks make it difficult to evaluate the ...

Yipeng Sun, et al. ∙

research

∙ 05/18/2020

Cross-Task Transfer for Multimodal Aerial Scene Recognition

Aerial scene recognition is a fundamental task in remote sensing and has...

Di Hu, et al. ∙

research

∙ 10/12/2021

Improving Binary Neural Networks through Fully Utilizing Latent Weights

Binary Neural Networks (BNNs) rely on a real-valued auxiliary variable W...

Weixiang Xu, et al. ∙

research

∙ 11/01/2021

PP-ShiTu: A Practical Lightweight Image Recognition System

In recent years, image recognition applications have developed rapidly. ...

Shengyu Wei, et al. ∙

research

∙ 01/01/2022

Quality-aware Part Models for Occluded Person Re-identification

Occlusion poses a major challenge for person re-identification (ReID). E...

Pengfei Wang, et al. ∙

research

∙ 05/19/2022

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters

The ever-growing model size and scale of compute have attracted increasi...

Yang Xiang, et al. ∙

research

∙ 09/25/2020

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

This paper introduces the real image Super-Resolution (SR) challenge tha...

Pengxu Wei, et al. ∙

research

∙ 07/22/2021

EAN: Event Adaptive Network for Enhanced Action Recognition

Efficiently modeling spatial-temporal information in videos is crucial f...

Yuan Tian, et al. ∙

research

∙ 11/18/2021

C-OPH: Improving the Accuracy of One Permutation Hashing (OPH) with Circulant Permutations

Minwise hashing (MinHash) is a classical method for efficiently estimati...

Xiaoyun Li, et al. ∙

research

∙ 11/29/2018

ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Autonomous driving has attracted remarkable attention from both industry...

Xibin Song, et al. ∙

research

∙ 04/24/2019

Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation

This paper presents a novel framework to recover detailed human body sha...

Xinxin Zuo, et al. ∙

research

∙ 04/29/2019

Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction

In this paper, we consider the problem of open information extraction (O...

Mingming Sun, et al. ∙

research

∙ 07/06/2019

Fast Universal Style Transfer for Artistic and Photorealistic Rendering

Universal style transfer is an image editing task that renders an input ...

Jie An, et al. ∙

research

∙ 01/26/2020

Curriculum Audiovisual Learning

Associating sound and its producer in complex audiovisual scene is a cha...

Di Hu, et al. ∙

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