b'Jian Sun'

A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation

Cross-contrast image translation is an important task for completing mis...
07/26/2021 ∙ by Heran Yang, et al. ∙ 0 ∙ share

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YOLOX: Exceeding YOLO Series in 2021

In this report, we present some experienced improvements to YOLO series,...
07/18/2021 ∙ by Zheng Ge, et al. ∙ 0 ∙ share

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Distributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization

This paper proposes a distributed stochastic algorithm with variance red...
06/28/2021 ∙ by Xia Jiang, et al. ∙ 0 ∙ share

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NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results

This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...
06/07/2021 ∙ by Goutam Bhat, et al. ∙ 0 ∙ share

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Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking

Existing dialog state tracking (DST) models are trained with dialog data...
06/01/2021 ∙ by Yinpei Dai, et al. ∙ 0 ∙ share

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ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging

In this paper, we present an attention-guided deformable convolutional n...
05/22/2021 ∙ by Zhen Liu, et al. ∙ 5 ∙ share

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Generalized Few-Shot Object Detection without Forgetting

Recently few-shot object detection is widely adopted to deal with data-l...
05/20/2021 ∙ by Zhibo Fan, et al. ∙ 17 ∙ share

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Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report

Image denoising is one of the most critical problems in mobile photo pro...
05/17/2021 ∙ by Andrey Ignatov, et al. ∙ 16 ∙ share

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Points as Queries: Weakly Semi-supervised Object Detection by Points

We propose a novel point annotated setting for the weakly semi-supervise...
04/15/2021 ∙ by Liangyu Chen, et al. ∙ 25 ∙ share

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IQDet: Instance-wise Quality Distribution Sampling for Object Detection

We propose a dense object detector with an instance-wise sampling strate...
04/14/2021 ∙ by Yuchen Ma, et al. ∙ 0 ∙ share

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Learning to Jointly Deblur, Demosaick and Denoise Raw Images

We address the problem of non-blind deblurring and demosaicking of noisy...
04/13/2021 ∙ by Thomas Eboli, et al. ∙ 0 ∙ share

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Distribution Alignment: A Unified Framework for Long-tail Visual Recognition

Despite the recent success of deep neural networks, it remains challengi...
03/30/2021 ∙ by Songyang Zhang, et al. ∙ 20 ∙ share

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OTA: Optimal Transport Assignment for Object Detection

Recent advances in label assignment in object detection mainly seek to i...
03/26/2021 ∙ by Zheng Ge, et al. ∙ 0 ∙ share

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You Only Look One-level Feature

This paper revisits feature pyramids networks (FPN) for one-stage detect...
03/17/2021 ∙ by Qiang Chen, et al. ∙ 17 ∙ share

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Training Networks in Null Space of Feature Covariance for Continual Learning

In the setting of continual learning, a network is trained on a sequence...
03/12/2021 ∙ by Shipeng Wang, et al. ∙ 0 ∙ share

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End-to-End Human Object Interaction Detection with HOI Transformer

We propose HOI Transformer to tackle human object interaction (HOI) dete...
03/08/2021 ∙ by Cheng Zou, et al. ∙ 0 ∙ share

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Improving Text-to-SQL with Schema Dependency Learning

Text-to-SQL aims to map natural language questions to SQL queries. The s...
03/07/2021 ∙ by Binyuan Hui, et al. ∙ 0 ∙ share

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Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment

The rising temperature is one of the key indicators of a warming climate...
02/04/2021 ∙ by Manzhu Yu, et al. ∙ 0 ∙ share

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Neural Architecture Search with Random Labels

In this paper, we investigate a new variant of neural architecture searc...
01/28/2021 ∙ by Xuanyang Zhang, et al. ∙ 0 ∙ share

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Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning

In this paper, we present a novel approach, Momentum^2 Teacher, for stud...
01/19/2021 ∙ by Zeming Li, et al. ∙ 0 ∙ share

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RepVGG: Making VGG-style ConvNets Great Again

We present a simple but powerful architecture of convolutional neural ne...
01/11/2021 ∙ by Xiaohan Ding, et al. ∙ 6 ∙ share

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Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing

Semantic parsing has long been a fundamental problem in natural language...
01/05/2021 ∙ by Binyuan Hui, et al. ∙ 0 ∙ share

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Implicit Feature Pyramid Network for Object Detection

In this paper, we present an implicit feature pyramid network (i-FPN) fo...
12/25/2020 ∙ by Tiancai Wang, et al. ∙ 0 ∙ share

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Efficient Human Pose Estimation by Learning Deeply Aggregated Representations

In this paper, we propose an efficient human pose estimation network (DA...
12/13/2020 ∙ by Zhengxiong Luo, et al. ∙ 0 ∙ share

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End-to-End Object Detection with Fully Convolutional Network

Mainstream object detectors based on the fully convolutional network has...
12/07/2020 ∙ by Jianfeng Wang, et al. ∙ 0 ∙ share

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Fine-Grained Dynamic Head for Object Detection

The Feature Pyramid Network (FPN) presents a remarkable approach to alle...
12/07/2020 ∙ by Lin Song, et al. ∙ 0 ∙ share

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Rethinking Learnable Tree Filter for Generic Feature Transform

The Learnable Tree Filter presents a remarkable approach to model struct...
12/07/2020 ∙ by Lin Song, et al. ∙ 0 ∙ share

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Fully Convolutional Networks for Panoptic Segmentation

In this paper, we present a conceptually simple, strong, and efficient f...
12/01/2020 ∙ by Yanwei Li, et al. ∙ 0 ∙ share

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UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning

We present an unsupervised learning approach for optical flow estimation...
12/01/2020 ∙ by Kunming Luo, et al. ∙ 2 ∙ share

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Self-EMD: Self-Supervised Object Detection without ImageNet

In this paper, we propose a novel self-supervised representation learnin...
11/27/2020 ∙ by Songtao Liu, et al. ∙ 0 ∙ share

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Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis

In this paper we propose a rotation-invariant deep network for point clo...
11/18/2020 ∙ by Ruixuan Yu, et al. ∙ 0 ∙ share

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Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track

In this report, we present our object detection/instance segmentation sy...
10/06/2020 ∙ by Zeming Li, et al. ∙ 0 ∙ share

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EqCo: Equivalent Rules for Self-supervised Contrastive Learning

In this paper, we propose a method, named EqCo (Equivalent Rules for Con...
10/05/2020 ∙ by Benjin Zhu, et al. ∙ 3 ∙ share

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Activate or Not: Learning Customized Activation

Modern activation layers use non-linear functions to activate the neuron...
09/10/2020 ∙ by Ningning Ma, et al. ∙ 0 ∙ share

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Funnel Activation for Visual Recognition

We present a conceptually simple but effective funnel activation for ima...
07/23/2020 ∙ by Ningning Ma, et al. ∙ 0 ∙ share

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WeightNet: Revisiting the Design Space of Weight Networks

We present a conceptually simple, flexible and effective framework for w...
07/23/2020 ∙ by Ningning Ma, et al. ∙ 12 ∙ share

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BorderDet: Border Feature for Dense Object Detection

Dense object detectors rely on the sliding-window paradigm that predicts...
07/21/2020 ∙ by Han Qiu, et al. ∙ 0 ∙ share

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AutoAssign: Differentiable Label Assignment for Dense Object Detection

In this paper, we propose an anchor-free object detector with a fully di...
07/07/2020 ∙ by Benjin Zhu, et al. ∙ 2 ∙ share

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LabelEnc: A New Intermediate Supervision Method for Object Detection

In this paper we propose a new intermediate supervision method, named La...
07/07/2020 ∙ by Miao Hao, et al. ∙ 0 ∙ share

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End-to-end Interpretable Learning of Non-blind Image Deblurring

Non-blind image deblurring is typically formulated as a linear least-squ...
07/03/2020 ∙ by Thomas Eboli, et al. ∙ 0 ∙ share

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Approximation algorithms for general cluster routing problem

Graph routing problems have been investigated extensively in operations ...
06/23/2020 ∙ by Xiaoyan Zhang, et al. ∙ 0 ∙ share

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Structured and Localized Image Restoration

We present a novel approach to image restoration that leverages ideas fr...
06/16/2020 ∙ by Thomas Eboli, et al. ∙ 10 ∙ share

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Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven

In this paper time-driven learning refers to the machine learning method...
06/16/2020 ∙ by Qingtao Zhao, et al. ∙ 0 ∙ share

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Spherical Motion Dynamics of Deep Neural Networks with Batch Normalization and Weight Decay

We comprehensively reveal the learning dynamics of deep neural networks ...
06/15/2020 ∙ by Ruosi Wan, et al. ∙ 0 ∙ share

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A real-time multi-constraints obstacle avoidance method based on LiDAR

Obstacle avoidance is one of the essential and indispensable functions f...
05/30/2020 ∙ by Wei Chen, et al. ∙ 0 ∙ share

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Joint Multi-Dimension Pruning

We present joint multi-dimension pruning (named as JointPruning), a new ...
05/18/2020 ∙ by Zechun Liu, et al. ∙ 6 ∙ share

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Dynamic Memory Induction Networks for Few-Shot Text Classification

This paper proposes Dynamic Memory Induction Networks (DMIN) for few-sho...
05/12/2020 ∙ by Ruiying Geng, et al. ∙ 0 ∙ share

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A Survey on Dialog Management: Recent Advances and Challenges

Dialog management (DM) is a crucial component in a task-oriented dialog ...
05/05/2020 ∙ by Yinpei Dai, et al. ∙ 0 ∙ share

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Angle-based Search Space Shrinking for Neural Architecture Search

In this work, we present a simple and general search space shrinking met...
04/28/2020 ∙ by Yiming Hu, et al. ∙ 0 ∙ share

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Stitcher: Feedback-driven Data Provider for Object Detection

Object detectors commonly vary quality according to scales, where the pe...
04/26/2020 ∙ by Yukang Chen, et al. ∙ 3 ∙ share

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Jian Sun

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