Search Results for author: Liangyu Chen

Found 11 papers, 6 papers with code

Making Your First Choice: To Address Cold Start Problem in Vision Active Learning

1 code implementation5 Oct 2022 Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan L. Yuille, Zongwei Zhou

However, we uncover a striking contradiction to this promise: active learning fails to select data as efficiently as random selection at the first few choices.

Active Learning Contrastive Learning

Automatic tagging of knowledge points for K12 math problems

no code implementations21 Aug 2022 Xiaolu Wang, Ziqi Ding, Liangyu Chen

In this paper, K12 math problems taken as the research object, the LABS model based on label-semantic attention and multi-label smoothing combining textual features is proposed to improve the automatic tagging of knowledge points for math problems.

Classification text-classification +1

BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection

no code implementations SemEval (NAACL) 2022 Yong Deng, Chenxiao Dou, Liangyu Chen, Deqiang Miao, Xianghui Sun, Baochang Ma, Xiangang Li

PCL detection task is aimed at identifying and categorizing language that is patronizing or condescending towards vulnerable communities in the general media. Compared to other NLP tasks of paragraph classification, the negative language presented in the PCL detection task is usually more implicit and subtle to be recognized, making the performance of common text-classification approaches disappointed.

Classification Multi-Label Classification +4

NAFSSR: Stereo Image Super-Resolution Using NAFNet

4 code implementations19 Apr 2022 Xiaojie Chu, Liangyu Chen, Wenqing Yu

This paper inherits a strong and simple image restoration model, NAFNet, for single-view feature extraction and extends it by adding cross attention modules to fuse features between views to adapt to binocular scenarios.

Image Restoration Stereo Image Super-Resolution

Simple Baselines for Image Restoration

7 code implementations10 Apr 2022 Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, Jian Sun

Although there have been significant advances in the field of image restoration recently, the system complexity of the state-of-the-art (SOTA) methods is increasing as well, which may hinder the convenient analysis and comparison of methods.

Deblurring Image Deblurring +2

Improving Image Restoration by Revisiting Global Information Aggregation

2 code implementations8 Dec 2021 Xiaojie Chu, Liangyu Chen, Chengpeng Chen, Xin Lu

Our TLC converts global operations to local ones only during inference so that they aggregate features within local spatial regions rather than the entire large images.

Color Image Denoising Deblurring +7

Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms

no code implementations14 May 2021 Hao Du, Melissa Min-Szu Yao, Liangyu Chen, Wing P. Chan, Mengling Feng

In this study, we proposed a multi-task deep graph convolutional network (GCN) method for the automatic characterization of morphology and distribution of microcalcifications in mammograms.

Graph Classification Graph Learning

HINet: Half Instance Normalization Network for Image Restoration

2 code implementations13 May 2021 Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, Chengpeng Chen

Specifically, we present a novel block: Half Instance Normalization Block (HIN Block), to boost the performance of image restoration networks.

Deblurring Image Deblurring +3

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

1 code implementation CVPR 2021 Liangyu Chen, Tong Yang, Xiangyu Zhang, Wei zhang, Jian Sun

We propose a novel point annotated setting for the weakly semi-supervised object detection task, in which the dataset comprises small fully annotated images and large weakly annotated images by points.

object-detection Object Detection +1

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