Search Results for author: Xian Sun

Found 28 papers, 6 papers with code

Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos

no code implementations EMNLP 2020 Nayu Liu, Xian Sun, Hongfeng Yu, Wenkai Zhang, Guangluan Xu

Multimodal summarization for open-domain videos is an emerging task, aiming to generate a summary from multisource information (video, audio, transcript).

Learning Invariant Visual Representations for Compositional Zero-Shot Learning

no code implementations1 Jun 2022 Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo

Compositional Zero-Shot Learning (CZSL) aims to recognize novel compositions using knowledge learned from seen attribute-object compositions in the training set.

Compositional Zero-Shot Learning Out-of-Distribution Generalization

Span-level Bidirectional Cross-attention Framework for Aspect Sentiment Triplet Extraction

no code implementations27 Apr 2022 Yuqi Chen, Keming Chen, Xian Sun, Zequn Zhang

With differentiated span representations and bidirectional decoding structure, our model can extract sentiment triplets more precisely and efficiently.

Aspect Sentiment Triplet Extraction

Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

1 code implementation21 Apr 2022 Zhiqiang Yuan, Wenkai Zhang, Kun fu, Xuan Li, Chubo Deng, Hongqi Wang, Xian Sun

Our model adapts to multi-scale feature inputs, favors multi-source retrieval methods, and can dynamically filter redundant features.

Text-Image Retrieval

Remote Sensing Cross-Modal Text-Image Retrieval Based on Global and Local Information

1 code implementation21 Apr 2022 Zhiqiang Yuan, Wenkai Zhang, Changyuan Tian, Xuee Rong, Zhengyuan Zhang, Hongqi Wang, Kun fu, Xian Sun

In this article, we first propose a novel RSCTIR framework based on global and local information (GaLR), and design a multi-level information dynamic fusion (MIDF) module to efficaciously integrate features of different levels.

Text-Image Retrieval

Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders

no code implementations11 Apr 2022 Yongqiang Mao, Xian Sun, Wenhui Diao, Kaiqiang Chen, Zonghao Guo, Xiaonan Lu, Kun fu

Due to the unicity of receptive field, semantic segmentation of point clouds remains challenging for the expression of multi-receptive field features, which brings about the misclassification of instances with similar spatial structures.

Semantic Segmentation

Optical Flow Training under Limited Label Budget via Active Learning

no code implementations9 Mar 2022 Shuai Yuan, Xian Sun, Hannah Kim, Shuzhi Yu, Carlo Tomasi

Our experiments on both synthetic and real optical flow datasets show that our semi-supervised networks generally need around 50% of the labels to achieve close to full-label accuracy, and only around 20% with active learning on Sintel.

Active Learning Optical Flow Estimation

Learning by Active Forgetting for Neural Networks

no code implementations21 Nov 2021 Jian Peng, Xian Sun, Min Deng, Chao Tao, Bo Tang, Wenbo Li, Guohua Wu, QingZhu, Yu Liu, Tao Lin, Haifeng Li

This paper presents a learning model by active forgetting mechanism with artificial neural networks.

1213Li at SemEval-2021 Task 6: Detection of Propaganda with Multi-modal Attention and Pre-trained Models

no code implementations SEMEVAL 2021 Peiguang Li, Xuan Li, Xian Sun

This paper presents the solution proposed by the 1213Li team for subtask 3 in SemEval-2021 Task 6: identifying the multiple persuasion techniques used in the multi-modal content of the meme.

Double Similarity Distillation for Semantic Image Segmentation

no code implementations19 Jul 2021 Yingchao Feng, Xian Sun, Wenhui Diao, Jihao Li, Xin Gao

In this paper, motivated by the residual learning and global aggregation, we propose a simple yet general and effective knowledge distillation framework called double similarity distillation (DSD) to improve the classification accuracy of all existing compact networks by capturing the similarity knowledge in pixel and category dimensions, respectively.

Knowledge Distillation Semantic Segmentation

Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification

no code implementations21 Jun 2021 Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, Zhanyu Ma

Then, attention mechanisms are used after feature fusion to extract spatial and channel information while linking the high-level semantic information and the low-level texture features, which can better locate the discriminative regions for the FGVC.

Fine-Grained Image Classification

HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction

no code implementations20 Apr 2021 Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Li Jin, Shuchao Li

Link Prediction, addressing the issue of completing KGs with missing facts, has been broadly studied.

Link Prediction

FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

no code implementations9 Mar 2021 Xian Sun, Peijin Wang, Zhiyuan Yan, Feng Xu, Ruiping Wang, Wenhui Diao, Jin Chen, Jihao Li, Yingchao Feng, Tao Xu, Martin Weinmann, Stefan Hinz, Cheng Wang, Kun fu

In this paper, we propose a novel benchmark dataset with more than 1 million instances and more than 15, 000 images for Fine-grAined object recognItion in high-Resolution remote sensing imagery which is named as FAIR1M.

object-detection Object Detection +1

AF-EMS Detector: Improve the Multi-Scale Detection Per- formance of the Anchor-Free Detector

no code implementations Remote Sensing 2021 Jiangqiao Yan, Liangjin Zhao, Wenhui Diao, Hongqi Wang, Xian Sun

With the objects to be detected becoming more complex, the problem of multi-scale object detection has attracted more and more attention, especially in the field of remote sensing detection.

object-detection Object Detection +1

High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network

no code implementations1 Oct 2020 Wenjia Xu, Guangluan Xu, Yang Wang, Xian Sun, Daoyu Lin, Yirong Wu

Single image super-resolution is an effective way to enhance the spatial resolution of remote sensing image, which is crucial for many applications such as target detection and image classification.

Image Classification Image Super-Resolution +1

A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms

no code implementations30 Aug 2020 Yanan Sun, Xian Sun, Yuhan Fang, Gary Yen

Performance predictors are a type of regression models which can assist to accomplish the search, while without exerting much computational resource.

Neural Architecture Search

Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images

no code implementations9 Jan 2020 Ruigang Niu, Xian Sun, Yu Tian, Wenhui Diao, Kaiqiang Chen, Kun fu

Semantic segmentation in very high resolution (VHR) aerial images is one of the most challenging tasks in remote sensing image understanding.

Semantic Segmentation

Ship Instance Segmentation From Remote Sensing Images Using Sequence Local Context Module

no code implementations22 Apr 2019 Yingchao Feng, Wenhui Diao, Zhonghan Chang, Menglong Yan, Xian Sun, Xin Gao

The performance of object instance segmentation in remote sensing images has been greatly improved through the introduction of many landmark frameworks based on convolutional neural network.

Instance Segmentation Semantic Segmentation

Comparison Network for One-Shot Conditional Object Detection

no code implementations4 Apr 2019 Tengfei Zhang, Yue Zhang, Xian Sun, Hao Sun, Menglong Yan, Xue Yang, Kun fu

A two-stage detector for OSCD is introduced to compare the extracted query and target features with the learnable metric to approach the optimized non-linear conditional probability.

object-detection Object Detection

A Remote Sensing Image Dataset for Cloud Removal

2 code implementations3 Jan 2019 Daoyu Lin, Guangluan Xu, Xiaoke Wang, Yang Wang, Xian Sun, Kun fu

Removing clouds is an indispensable pre-processing step in remote sensing image analysis.

Change Detection Cloud Removal +1

Wider Channel Attention Network for Remote Sensing Image Super-resolution

no code implementations13 Dec 2018 Jun Gu, Guangluan Xu, Yue Zhang, Xian Sun, Ran Wen, Lei Wang

In this letter, we propose a novel single-image super-resolution (SISR) algorithm named Wider Channel Attention Network (WCAN) for remote sensing images.

Image Super-Resolution Single Image Super Resolution

Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network

3 code implementations13 Jun 2018 Xue Yang, Hao Sun, Xian Sun, Menglong Yan, Zhi Guo, Kun fu

The complexity of application scenarios, the redundancy of detection region, and the difficulty of dense ship detection are all the main obstacles that limit the successful operation of traditional methods in ship detection.

Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks

6 code implementations12 Jun 2018 Xue Yang, Hao Sun, Kun fu, Jirui Yang, Xian Sun, Menglong Yan, Zhi Guo

Additionally, in the case of ship rotation and dense arrangement, we design a rotation anchor strategy to predict the minimum circumscribed rectangle of the object so as to reduce the redundant detection region and improve the recall.

object-detection Object Detection

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

no code implementations28 Dec 2016 Daoyu Lin, Kun fu, Yang Wang, Guangluan Xu, Xian Sun

With the development of deep learning, supervised learning has frequently been adopted to classify remotely sensed images using convolutional networks (CNNs).

Classification General Classification +3

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