b'Enze Xie'

CycleMLP: A MLP-like Architecture for Dense Prediction

This paper presents a simple MLP-like architecture, CycleMLP, which is a...
07/21/2021 ∙ by Shoufa Chen, et al. ∙ 0 ∙ share

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SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

We present SegFormer, a simple, efficient yet powerful semantic segmenta...
05/31/2021 ∙ by Enze Xie, et al. ∙ 6 ∙ share

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PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond

Reducing the complexity of the pipeline of instance segmentation is cruc...
05/05/2021 ∙ by Enze Xie, et al. ∙ 0 ∙ share

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FakeMix Augmentation Improves Transparent Object Detection

Detecting transparent objects in natural scenes is challenging due to th...
03/24/2021 ∙ by Yang Cao, et al. ∙ 0 ∙ share

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Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization

We present an extremely simple Ultra-Resolution Style Transfer framework...
03/22/2021 ∙ by Zhe Chen, et al. ∙ 7 ∙ share

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Unsupervised Pretraining for Object Detection by Patch Reidentification

Unsupervised representation learning achieves promising performances in ...
03/08/2021 ∙ by Jian Ding, et al. ∙ 0 ∙ share

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DetCo: Unsupervised Contrastive Learning for Object Detection

Unsupervised contrastive learning achieves great success in learning ima...
02/09/2021 ∙ by Enze Xie, et al. ∙ 16 ∙ share

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Trans2Seg: Transparent Object Segmentation with Transformer

This work presents a new fine-grained transparent object segmentation da...
01/21/2021 ∙ by Enze Xie, et al. ∙ 11 ∙ share

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TransTrack: Multiple-Object Tracking with Transformer

Multiple-object tracking(MOT) is mostly dominated by complex and multi-s...
12/31/2020 ∙ by Peize Sun, et al. ∙ 20 ∙ share

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OneNet: Towards End-to-End One-Stage Object Detection

End-to-end one-stage object detection trailed thus far. This paper disco...
12/10/2020 ∙ by Peize Sun, et al. ∙ 0 ∙ share

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SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training

Although a polygon is a more accurate representation than an upright bou...
11/26/2020 ∙ by Weijia Wu, et al. ∙ 0 ∙ share

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Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild

Deep learning-based scene text detection can achieve preferable performa...
09/03/2020 ∙ by Weijia Wu, et al. ∙ 0 ∙ share

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AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting

Scene text spotting aims to detect and recognize the entire word or sent...
08/03/2020 ∙ by Wenhai Wang, et al. ∙ 0 ∙ share

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Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation

Multi-person pose estimation is challenging because it localizes body ke...
07/23/2020 ∙ by Sheng Jin, et al. ∙ 0 ∙ share

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Scene Text Image Super-Resolution in the Wild

Low-resolution text images are often seen in natural scenes such as docu...
05/07/2020 ∙ by Wenjia Wang, et al. ∙ 0 ∙ share

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Segmenting Transparent Objects in the Wild

Transparent objects such as windows and bottles made by glass widely exi...
03/31/2020 ∙ by Enze Xie, et al. ∙ 0 ∙ share

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1st Place Solutions for OpenImage2019 – Object Detection and Instance Segmentation

This article introduces the solutions of the two champion teams, `MMfrui...
03/17/2020 ∙ by Yu Liu, et al. ∙ 7 ∙ share

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PolarMask: Single Shot Instance Segmentation with Polar Representation

In this paper, we introduce an anchor-box free and single shot instance ...
09/29/2019 ∙ by Enze Xie, et al. ∙ 23 ∙ share

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TextSR: Content-Aware Text Super-Resolution Guided by Recognition

Scene text recognition has witnessed rapid development with the advance ...
09/16/2019 ∙ by Wenjia Wang, et al. ∙ 3 ∙ share

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Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

Scene text detection, an important step of scene text reading systems, h...
08/16/2019 ∙ by Wenhai Wang, et al. ∙ 2 ∙ share

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Scene Text Detection with Supervised Pyramid Context Network

Scene text detection methods based on deep learning have achieved remark...
11/21/2018 ∙ by Enze Xie, et al. ∙ 4 ∙ share

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Fast OBDD Reordering using Neural Message Passing on Hypergraph

Ordered binary decision diagrams (OBDDs) are an efficient data structure...
11/06/2018 ∙ by Feifan Xu, et al. ∙ 0 ∙ share

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Attention Cropping: A Novel Data Augmentation Method for Real-world Plant Species Identification

This paper investigates the issue of realistic plant species identificat...
04/11/2018 ∙ by Qingguo Xiao, et al. ∙ 0 ∙ share

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Enze Xie

Featured Co-authors

Chunhua Shen

Xiaogang Wang

Chen Change Loy

Anima Anandkumar

Wanli Ouyang

Yu Liu

Ping Luo

Junjie Yan

Xiang Bai

Zhen Li

Yang Cao

CycleMLP: A MLP-like Architecture for Dense Prediction

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond

FakeMix Augmentation Improves Transparent Object Detection

Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization

Unsupervised Pretraining for Object Detection by Patch Reidentification

DetCo: Unsupervised Contrastive Learning for Object Detection

Trans2Seg: Transparent Object Segmentation with Transformer

TransTrack: Multiple-Object Tracking with Transformer

OneNet: Towards End-to-End One-Stage Object Detection

SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training

Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild

AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting

Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation

Scene Text Image Super-Resolution in the Wild

Segmenting Transparent Objects in the Wild

1st Place Solutions for OpenImage2019 – Object Detection and Instance Segmentation

PolarMask: Single Shot Instance Segmentation with Polar Representation

TextSR: Content-Aware Text Super-Resolution Guided by Recognition

Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

Scene Text Detection with Supervised Pyramid Context Network

Fast OBDD Reordering using Neural Message Passing on Hypergraph

Attention Cropping: A Novel Data Augmentation Method for Real-world Plant Species Identification