Search Results for author: Zhipeng Luo

Found 26 papers, 4 papers with code

DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in Arabic

no code implementations EACL (WANLP) 2021 Bingyan Song, Chunguang Pan, Shengguang Wang, Zhipeng Luo

Sarcasm is one of the main challenges for sentiment analysis systems due to using implicit indirect phrasing for expressing opinions, especially in Arabic.

Fine-tuning Sentiment Analysis

AMLN: Adversarial-based Mutual Learning Network for Online Knowledge Distillation

no code implementations ECCV 2020 Xiaobing Zhang, Shijian Lu, Haigang Gong, Zhipeng Luo, Ming Liu

Online knowledge distillation has attracted increasing interest recently, which jointly learns teacher and student models or an ensemble of student models simultaneously and collaboratively.

Knowledge Distillation Transfer Learning

GenCo: Generative Co-training on Data-Limited Image Generation

no code implementations4 Oct 2021 Kaiwen Cui, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, Shijian Lu

Specifically, we design GenCo, a Generative Co-training network that mitigates the discriminator over-fitting issue by introducing multiple complementary discriminators that provide diverse supervision from multiple distinctive views in training.

Data Augmentation Image Generation

MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction

no code implementations EMNLP 2021 Manqing Dong, Chunguang Pan, Zhipeng Luo

Neural relation extraction models have shown promising results in recent years; however, the model performance drops dramatically given only a few training samples.

Few-Shot Learning Fine-tuning +1

AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data

1 code implementation9 Sep 2021 Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng

Temporal relational data, perhaps the most commonly used data type in industrial machine learning applications, needs labor-intensive feature engineering and data analyzing for giving precise model predictions.

AutoML Feature Engineering +1

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency

no code implementations ICCV 2021 Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu

In addition, existing 3D domain adaptive detection methods often assume prior access to the target domain annotations, which is rarely feasible in the real world.

3D Object Detection Autonomous Driving

Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification

no code implementations16 Jun 2021 Zhipeng Luo, Xiaobing Zhang, Shijian Lu, Shuai Yi

Compared with single-source unsupervised domain adaptation (SUDA), domain shift in MUDA exists not only between the source and target domains but also among multiple source domains.

Classification Multi-Source Unsupervised Domain Adaptation +1

DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention

no code implementations31 Mar 2021 Jingyi Zhang, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Shijian Lu

In this work, we adopt a one-stage detector and design DA-DETR, a simple yet effective domain adaptive object detection network that performs inter-domain alignment with a single discriminator.

Domain Adaptation Object Detection

BERT-based Acronym Disambiguation with Multiple Training Strategies

no code implementations25 Feb 2021 Chunguang Pan, Bingyan Song, Shengguang Wang, Zhipeng Luo

Acronym disambiguation (AD) task aims to find the correct expansions of an ambiguous ancronym in a given sentence.

A Technical Report for VIPriors Image Classification Challenge

no code implementations17 Jul 2020 Zhipeng Luo, Ge Li, Zhiguang Zhang

This paper is a brief report to our submission to the VIPriors Image Classification Challenge.

Classification Ensemble Learning +3

Challenge report:VIPriors Action Recognition Challenge

no code implementations16 Jul 2020 Zhipeng Luo, Dawei Xu, Zhiguang Zhang

This paper is a brief report to our submission to the VIPriors Action Recognition Challenge.

Action Recognition

VIPriors Object Detection Challenge

no code implementations16 Jul 2020 Zhipeng Luo, Lixuan Che

This paper is a brief report to our submission to the VIPriors Object Detection Challenge.

Object Detection

Efficient Architecture Search for Continual Learning

no code implementations7 Jun 2020 Qiang Gao, Zhipeng Luo, Diego Klabjan

To reach these goals, we propose a novel approach named as Continual Learning with Efficient Architecture Search, or CLEAS in short.

Continual Learning Neural Architecture Search +1

PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds

no code implementations20 Jun 2019 Jonathan Li, Rongren Wu, Yiping Chen, Qing Zhu, Zhipeng Luo, Cheng Wang

Second, to accurately extract trees from all point clouds, we propose a 3D deep learning network, PointNLM, to semantically segment tree crowns.

Point Cloud Segmentation Semantic Segmentation

Learning Fast Matching Models from Weak Annotations

no code implementations30 Jan 2019 Xue Li, Zhipeng Luo, Hao Sun, Jianjin Zhang, Weihao Han, Xianqi Chu, Liangjie Zhang, Qi Zhang

The proposed training framework targets on mitigating both issues, by treating the stronger but undeployable models as annotators, and learning a deployable model from both human provided relevance labels and weakly annotated search log data.

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