327 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Capital Normal UniversityCN35 papers
- Chinese Academy of SciencesCN29 papers
- Max Planck Institute for Mathematics in the SciencesDE29 papers
- Max Planck Institute for MathematicsDE17 papers
- Nanjing UniversityCN14 papers
- Shandong UniversityCN14 papers
- National Astronomical ObservatoriesCN13 papers
- University of Chinese Academy of SciencesCN13 papers
- Tsinghua UniversityCN12 papers
- The University of TokyoJP9 papers
- Waseda UniversityJP9 papers
- China Meteorological AdministrationCN8 papers
21 papers · 1 filter
Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images
Shanwen Wang, Xin Sun, Danfeng Hong +1
The semi-supervised semantic segmentation (S4) can learn rich visual knowledge from low-cost unlabeled images. However, traditional S4 architectures all face the challenge of low-q…
SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement
Hanting Li, Fei Zhou, Xin Sun +3
Recent Transformer-based low-light enhancement methods have made promising progress in recovering global illumination. However, they still struggle with non-uniform lighting scenar…
OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model
Shuaiyu Chen, Fu Wang, Peng Ren +2
Semantic segmentation is commonly used for Oil Spill Detection (OSD) in remote sensing images. However, the limited availability of labelled oil spill samples and class imbalance p…
Removing Multiple Hybrid Adverse Weather in Video via a Unified Model
Yecong Wan, Mingwen Shao, Yuanshuo Cheng +2
Videos captured under real-world adverse weather conditions typically suffer from uncertain hybrid weather artifacts with heterogeneous degradation distributions. However, existing…
A new baseline for edge detection: Make Encoder-Decoder great again
Yachuan Li, Xavier Soria Pomab, Yongke Xi +5
The performance of deep learning based edge detector has far exceeded that of humans, but the huge computational cost and complex training strategy hinder its further development a…
Rethinking Object Saliency Ranking: A Novel Whole-flow Processing Paradigm
Mengke Song, Linfeng Li, Dunquan Wu +2
Existing salient object detection methods are capable of predicting binary maps that highlight visually salient regions. However, these methods are limited in their ability to diff…
Compact Twice Fusion Network for Edge Detection
Yachuan Li, Zongmin Li, Xavier Soria P. +5
The significance of multi-scale features has been gradually recognized by the edge detection community. However, the fusion of multi-scale features increases the complexity of the…
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation
Fang Chen, Heiko Balzter, Feixiang Zhou +2
Successful implementation of oil spill segmentation in Synthetic Aperture Radar (SAR) images is vital for marine environmental protection. In this paper, we develop an effective se…
Synthetic Data Supervised Salient Object Detection
Zhenyu Wu, Lin Wang, Wei Wang +4
Although deep salient object detection (SOD) has achieved remarkable progress, deep SOD models are extremely data-hungry, requiring large-scale pixel-wise annotations to deliver su…
Salient Object Detection via Dynamic Scale Routing
Zhenyu Wu, Shuai Li, Chenglizhao Chen +2
Recent research advances in salient object detection (SOD) could largely be attributed to ever-stronger multi-scale feature representation empowered by the deep learning technologi…
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
Rui Xu, Lei Xing, Shuai Shao +4
Few-shot learning (FSL), purposing to resolve the problem of data-scarce, has attracted considerable attention in recent years. A popular FSL framework contains two phases: (i) the…
MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation
Yimin Dou, Kewen Li, Jianbing Zhu +3
Data-driven fault detection has been regarded as a 3D image segmentation task. The models trained from synthetic data are difficult to generalize in some surveys. Recently, trainin…
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
Shuai Shao, Lei Xing, Yan Wang +4
Few-shot learning (FSL) aims to address the data-scarce problem. A standard FSL framework is composed of two components: (1) Pre-train. Employ the base data to generate a CNN-based…
Attention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels
YiMin Dou, Kewen Li, Jianbing Zhu +2
Detection faults in seismic data is a crucial step for seismic structural interpretation, reservoir characterization and well placement. Some recent works regard it as an image seg…
Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition
Jian Pang, Dacheng Zhang, Huafeng Li +2
In a conventional domain adaptation person Re-identification (Re-ID) task, both the training and test images in target domain are collected under the sunny weather. However, in rea…
Class specific or shared? A cascaded dictionary learning framework for image classification
Yan-Jiang Wang, Shuai Shao, Rui Xu +2
Dictionary learning methods can be split into: i) class specific dictionary learning ii) class shared dictionary learning. The difference between the two categories is how to use d…
Image Captioning based on Deep Reinforcement Learning
Haichao Shi, Peng Li, Bo Wang +1
Recently it has shown that the policy-gradient methods for reinforcement learning have been utilized to train deep end-to-end systems on natural language processing tasks. What's m…
Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition
Xueqi Ma, Weifeng Liu, Shuying Li +1
It is of great importance to preserve locality and similarity information in semi-supervised learning (SSL) based applications. Graph based SSL and manifold regularization based SS…
Neural Aesthetic Image Reviewer
Wenshan Wang, Su Yang, Weishan Zhang +1
Recently, there is a rising interest in perceiving image aesthetics. The existing works deal with image aesthetics as a classification or regression problem. To extend the cognitio…
Image Tag Completion by Low-rank Factorization with Dual Reconstruction Structure Preserved
Xue Li, Yu-Jin Zhang, Bin Shen +1
A novel tag completion algorithm is proposed in this paper, which is designed with the following features: 1) Low-rank and error s-parsity: the incomplete initial tagging matrix D…
Dictionary learning based image enhancement for rarity detection
Hui Li, Xiaomeng Wang, Weifeng Liu +1
Image enhancement is an important image processing technique that processes images suitably for a specific application e.g. image editing. The conventional solutions of image enhan…