Jian Sun

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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Attentive Normalization for Conditional Image Generation

Traditional convolution-based generative adversarial networks synthesize...
04/08/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Learning Human-Object Interaction Detection using Interaction Points

Understanding interactions between humans and objects is one of the fund...
03/31/2020 ∙ by Tiancai Wang, et al. ∙ 0 ∙ share

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Dynamic Region-Aware Convolution

We propose a new convolution called Dynamic Region-Aware Convolution (DR...
03/27/2020 ∙ by Jin Chen, et al. ∙ 0 ∙ share

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Learning Dynamic Routing for Semantic Segmentation

Recently, numerous handcrafted and searched networks have been applied f...
03/23/2020 ∙ by Yanwei Li, et al. ∙ 4 ∙ share

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Detection in Crowded Scenes: One Proposal, Multiple Predictions

We propose a simple yet effective proposal-based object detector, aiming...
03/20/2020 ∙ by Xuangeng Chu, et al. ∙ 0 ∙ share

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High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

Occluded person re-identification (ReID) aims to match occluded person i...
03/18/2020 ∙ by Guan'an Wang, et al. ∙ 3 ∙ share

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PointINS: Point-based Instance Segmentation

A single-point feature has shown its effectiveness in object detection. ...
03/13/2020 ∙ by Lu Qi, et al. ∙ 0 ∙ share

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Learning Delicate Local Representations for Multi-Person Pose Estimation

In this paper, we propose a novel method called Residual Steps Network (...
03/09/2020 ∙ by Yuanhao Cai, et al. ∙ 0 ∙ share

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A Big Data Enabled Channel Model for 5G Wireless Communication Systems

The standardization process of the fifth generation (5G) wireless commun...
02/28/2020 ∙ by Jie Huang, et al. ∙ 0 ∙ share

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Market Power in Convex Hull Pricing

The start up costs in many kinds of generators lead to complex cost stru...
02/15/2020 ∙ by Jian Sun, et al. ∙ 0 ∙ share

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Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization

Batch Normalization (BN) is one of the most widely used techniques in De...
01/19/2020 ∙ by Junjie Yan, et al. ∙ 20 ∙ share

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PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

In this work, we present a novel data-driven method for robust 6DoF obje...
11/11/2019 ∙ by Yisheng He, et al. ∙ 35 ∙ share

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Conductor Galloping Prediction on Imbalanced Datasets: SVM with Smart Sampling

Conductor galloping is the high-amplitude, low-frequency oscillation of ...
11/09/2019 ∙ by Kui Wang, et al. ∙ 0 ∙ share

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A Statistical Learning Approach to Reactive Power Control in Distribution Systems

Pronounced variability due to the growth of renewable energy sources, fl...
10/25/2019 ∙ by Qiuling Yang, et al. ∙ 5 ∙ share

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Learnable Tree Filter for Structure-preserving Feature Transform

Learning discriminative global features plays a vital role in semantic s...
09/27/2019 ∙ by Lin Song, et al. ∙ 0 ∙ share

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Disentangled Image Matting

Most previous image matting methods require a roughly-specificed trimap ...
09/10/2019 ∙ by Shaofan Cai, et al. ∙ 10 ∙ share

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HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition

View-based approach that recognizes 3D shape through its projected 2D im...
08/27/2019 ∙ by Xin Wei, et al. ∙ 0 ∙ share

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DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

This paper introduces an extremely efficient CNN architecture named DFAN...
04/03/2019 ∙ by Hanchao Li, et al. ∙ 0 ∙ share

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Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification

This paper considers a realistic problem in person re-identification (re...
04/01/2019 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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Single Path One-Shot Neural Architecture Search with Uniform Sampling

One-shot method is a powerful Neural Architecture Search (NAS) framework...
03/31/2019 ∙ by Zichao Guo, et al. ∙ 0 ∙ share

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ThunderNet: Towards Real-time Generic Object Detection

Real-time generic object detection on mobile platforms is a crucial but ...
03/28/2019 ∙ by Zheng Qin, et al. ∙ 22 ∙ share

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DetNAS: Neural Architecture Search on Object Detection

Object detectors are usually equipped with networks designed for image c...
03/26/2019 ∙ by Yukang Chen, et al. ∙ 0 ∙ share

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MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning

In this paper, we propose a novel meta learning approach for automatic c...
03/25/2019 ∙ by Zechun Liu, et al. ∙ 0 ∙ share

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Improving Cross-Domain Chinese Word Segmentation with Word Embeddings

Cross-domain Chinese Word Segmentation (CWS) remains a challenge despite...
03/05/2019 ∙ by Yuxiao Ye, et al. ∙ 0 ∙ share

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Meta-SR: A Magnification-Arbitrary Network for Super-Resolution

Recent research on super-resolution has achieved great success due to th...
03/03/2019 ∙ by Xuecai Hu, et al. ∙ 0 ∙ share

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Few-Shot Text Classification with Induction Network

Text classification tends to struggle when data is deficient or when it ...
02/27/2019 ∙ by Ruiying Geng, et al. ∙ 0 ∙ share

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HyperAdam: A Learnable Task-Adaptive Adam for Network Training

Deep neural networks are traditionally trained using human-designed stoc...
11/22/2018 ∙ by Shipeng Wang, et al. ∙ 0 ∙ share

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Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis

Designing a network on 3D surface for non-rigid shape analysis is a chal...
10/21/2018 ∙ by Ruixuan Yu, et al. ∙ 0 ∙ share

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Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN

The cycleGAN is becoming an influential method in medical image synthesi...
09/12/2018 ∙ by Heran Yang, et al. ∙ 0 ∙ share

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GridFace: Face Rectification via Learning Local Homography Transformations

In this paper, we propose a method, called GridFace, to reduce facial ge...
08/19/2018 ∙ by Erjin Zhou, et al. ∙ 6 ∙ share

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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Currently, the neural network architecture design is mostly guided by th...
07/30/2018 ∙ by Ningning Ma, et al. ∙ 0 ∙ share

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Unified Perceptual Parsing for Scene Understanding

Humans recognize the visual world at multiple levels: we effortlessly ca...
07/26/2018 ∙ by Tete Xiao, et al. ∙ 2 ∙ share

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MetaAnchor: Learning to Detect Objects with Customized Anchors

We propose a novel and flexible anchor mechanism named MetaAnchor for ob...
07/03/2018 ∙ by Tong Yang, et al. ∙ 0 ∙ share

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Jian Sun

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