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View article: Forward Simulation of Thin Ice Backscatter Mechanism in the Bohai Sea Region Based on the Msib and Smrt Coupling Model
Forward Simulation of Thin Ice Backscatter Mechanism in the Bohai Sea Region Based on the Msib and Smrt Coupling Model Open
View article: Full-process simulation of XPCS speckle dynamics based on Monte Carlo method and analysis of key parameter dependencies
Full-process simulation of XPCS speckle dynamics based on Monte Carlo method and analysis of key parameter dependencies Open
X-ray photon correlation spectroscopy (XPCS) is important for probing mesoscale material dynamics by using synchrotron radiation. However, the complex influences of parameters such as light source properties, beam propagation, and detector…
View article: Spatial guided image captioning: Guiding attention with object's spatial interaction
Spatial guided image captioning: Guiding attention with object's spatial interaction Open
Nowadays relational position embedding is widely used in many large multi‐modal models. It begins with relational captioning (a branch of image captioning) and contains two procedures: geometric modelling and prior attention. However, ther…
View article: A study of rainy ibis detection based on Yolov7-tiny
A study of rainy ibis detection based on Yolov7-tiny Open
The YOLOv7-tiny algorithm does not achieve high detection accuracy for crested ibis in rainy environments. Therefore, we developed a rainy day crested ibis target detection algorithm based on YOLOv7-tiny. Firstly, the RainMix method is use…
View article: Training Acceleration Method Based on Parameter Freezing
Training Acceleration Method Based on Parameter Freezing Open
As deep learning has evolved, larger and deeper neural networks are currently a popular trend in both natural language processing tasks and computer vision tasks. With the increasing parameter size and model complexity in deep neural netwo…
View article: Research on citrus segmentation algorithm based on complex environment
Research on citrus segmentation algorithm based on complex environment Open
Aiming to address the low efficiency of current deep learning algorithms for segmenting citrus in complex environments, this paper proposes a study on citrus segmentation algorithms based on a multi-scale attention mechanism. The DeepLab V…
View article: Petrographic Thin Section Image Classification Based on Deep Convolutional Network with Hybrid Attention Mechanism
Petrographic Thin Section Image Classification Based on Deep Convolutional Network with Hybrid Attention Mechanism Open
The classification of petrographic thin section image holds significant importance in the fields of geology and petroleum exploration. In light of the issue that the feature information of current petrographic thin section image recognitio…
View article: Passivation of Defective States in Single Crystal MAPbBr3 and Their Optoelectronic Properties Study
Passivation of Defective States in Single Crystal MAPbBr3 and Their Optoelectronic Properties Study Open
We fabricated high-quality MAPbBr3 single crystals (SC) by introducing moderate amount electron-rich poly(propylene glycol bis(2-aminopropyl ether) (PEA) additives with an inverse temperature crystallization (ITC) method. The intramolecula…
View article: Snowmelt detection on the Antarctic ice sheet and ice Shelves based on AMSR2 89 GHz channels
Snowmelt detection on the Antarctic ice sheet and ice Shelves based on AMSR2 89 GHz channels Open
Currently, the spatial resolution of snowmelt detection based on low-frequency brightness temperature data (less than or equal to 36 GHz) from the Advanced Microwave Scanning Radiometer 2 (AMSR2) is low, which inhibits the determination of…
View article: PESO: A Seq2Seq-Based Vessel Trajectory Prediction Method with Parallel Encoders and Ship-Oriented Decoder
PESO: A Seq2Seq-Based Vessel Trajectory Prediction Method with Parallel Encoders and Ship-Oriented Decoder Open
Vessel trajectory prediction supports navigation services and collision detection. To maintain safety and efficiency in maritime transportation, vessel trajectory prediction is always an important topic. By using automatic identification s…
View article: Unsupervised Cross-Scene Aerial Image Segmentation via Spectral Space Transferring and Pseudo-Label Revising
Unsupervised Cross-Scene Aerial Image Segmentation via Spectral Space Transferring and Pseudo-Label Revising Open
Unsupervised domain adaptation (UDA) is essential since manually labeling pixel-level annotations is consuming and expensive. Since the domain discrepancies have not been well solved, existing UDA approaches yield poor performance compared…
View article: More Than Syntaxes: Investigating Semantics to Zero-shot Cross-lingual Relation Extraction and Event Argument Role Labelling
More Than Syntaxes: Investigating Semantics to Zero-shot Cross-lingual Relation Extraction and Event Argument Role Labelling Open
Syntactic dependency structures are commonly utilized as language-agnostic features to solve the word order difference issues in zero-shot cross-lingual relation and event extraction tasks. However, while sentences in multiple forms can be…
View article: Event Causality Extraction via Implicit Cause-Effect Interactions
Event Causality Extraction via Implicit Cause-Effect Interactions Open
Event Causality Extraction (ECE) aims to extract the cause-effect event pairs from the given text, which requires the model to possess a strong reasoning ability to capture event causalities. However, existing works have not adequately exp…
View article: SPANet: Spatial Adaptive Convolution Based Content-Aware Network for Aerial Image Semantic Segmentation
SPANet: Spatial Adaptive Convolution Based Content-Aware Network for Aerial Image Semantic Segmentation Open
Semantic segmentation of remote sensing images encounters four significant difficulties: 1) complex backgrounds, 2) large-scale differences, 3) numerous small objects, and 4) extreme foreground–background imbalance. However, the existing g…
View article: A Survey on Learning Objects’ Relationship for Image Captioning
A Survey on Learning Objects’ Relationship for Image Captioning Open
Image captioning is a challenging modality transformation task in computer vision and natural language processing, aiming to understand the image content and describe it with a natural language. Recently, the relationship information betwe…
View article: Vlrt: Vision-Language-And-Relation Transformer for Image Captioning
Vlrt: Vision-Language-And-Relation Transformer for Image Captioning Open
View article: Petrographic Thin Section Image Classification Based on Deep Convolutional Network with Hybrid Attention Mechanism
Petrographic Thin Section Image Classification Based on Deep Convolutional Network with Hybrid Attention Mechanism Open
View article: Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport
Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport Open
Kaiwen Wei, Yiran Yang, Li Jin, Xian Sun, Zequn Zhang, Jingyuan Zhang, Xiao Li, Linhao Zhang, Jintao Liu, Guo Zhi. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
View article: From Plane to Hierarchy: Deformable Transformer for Remote Sensing Image Captioning
From Plane to Hierarchy: Deformable Transformer for Remote Sensing Image Captioning Open
With the growth of remote sensing images, understanding image content automatically has attracted many researchers' interests in deep learning for remote sensing image. Inspired from the natural image captioning, the model with convolution…
View article: An Improved Correlation of Compressibility Factor Prediction of Variable CO2-Content Condensate Gases
An Improved Correlation of Compressibility Factor Prediction of Variable CO2-Content Condensate Gases Open
The injection of carbon dioxide (CO2) into gas reservoirs has become an important way to enhance gas recovery and reduce CO2 emissions. Large discrepancies are observed when predicting natural gas compressibility factors with high CO2 cont…
View article: Geological and Geochemical Characteristics of the Terrestrial Lower Jurassic Shale in Tarim Basin and its Favorable Exploration Areas
Geological and Geochemical Characteristics of the Terrestrial Lower Jurassic Shale in Tarim Basin and its Favorable Exploration Areas Open
Large amounts of conventional gas resources that originated from terrestrial Lower Jurassic shale were discovered in the Tarim Basin, indicating promising exploration prospects for shale gas resources, whereas limited understandings were o…
View article: Commonsense Knowledge-Aware Prompt Tuning for Few-Shot NOTA Relation Classification
Commonsense Knowledge-Aware Prompt Tuning for Few-Shot NOTA Relation Classification Open
Compared with the traditional few-shot task, the few-shot none-of-the-above (NOTA) relation classification focuses on the realistic scenario of few-shot learning, in which a test instance might not belong to any of the target categories. T…
View article: Safety and Efficacy of overlap esophagojejunostomy During Totally Laparoscopic Total Gastrectomy: A Systematic Review and Meta Analysis
Safety and Efficacy of overlap esophagojejunostomy During Totally Laparoscopic Total Gastrectomy: A Systematic Review and Meta Analysis Open
Review question / Objective: Safety and e ffi c a c y o f o v e r l a p m e t h o d f o r esophagojejunal reconstruction using totally laparoscopic total gastrectomy.Condition being studied: There is no consensus on the best method for eso…
View article: Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos
Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos Open
Multimodal summarization for videos aims to generate summaries from multi-source information (videos, audio transcripts), which has achieved promising progress. However, existing works are restricted to monolingual video scenarios, ignorin…
View article: Is Text-Based User Manual Enough? The Effectiveness of Training Paradigms for Highly Automated Driving
Is Text-Based User Manual Enough? The Effectiveness of Training Paradigms for Highly Automated Driving Open
View article: Enhancement of Target‐Oriented Opinion Words Extraction with Multiview‐Trained Machine Reading Comprehension Model
Enhancement of Target‐Oriented Opinion Words Extraction with Multiview‐Trained Machine Reading Comprehension Model Open
Target‐oriented opinion words extraction (TOWE) seeks to identify opinion expressions oriented to a specific target, and it is a crucial step toward fine‐grained opinion mining. Recent neural networks have achieved significant success in t…
View article: HECR-Net: Height-Embedding Context Reassembly Network for Semantic Segmentation in Aerial Images
HECR-Net: Height-Embedding Context Reassembly Network for Semantic Segmentation in Aerial Images Open
Semantic segmentation in aerial images has become an indispensable part in remote sensing image understanding for its extensive application prospects. It is crucial to jointly reason the 2-D appearance along with 3-D information and acquir…
View article: Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction Open
Kaiwen Wei, Xian Sun, Zequn Zhang, Jingyuan Zhang, Guo Zhi, Li Jin. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume …
View article: Coseismic Underground Rupture, Geometry, Historical Surface Deformations, and Seismic Potentials of the 28 March 2019 <i>Mw</i> 5.04 Mangya Earthquake Fault
Coseismic Underground Rupture, Geometry, Historical Surface Deformations, and Seismic Potentials of the 28 March 2019 <i>Mw</i> 5.04 Mangya Earthquake Fault Open
The 28 March 2019 Mw 5.04 Mangya earthquake damaged eight ongoing drilling boreholes in the oil‐production Yingxiong Ling (YXL) area, southwestern Qaidam of northern Tibet. The borehole damages provide an opportunity to measure directly th…
View article: Construct ion of co - expression modules related to survival by WGCNA and identif ication of potential prognostic biomarkers in glioblastoma
Construct ion of co - expression modules related to survival by WGCNA and identif ication of potential prognostic biomarkers in glioblastoma Open
Background: Glioblastoma (GBM) is a malignant brain tumor with poor prognosis. However, the potential pathogenesis and therapeutic target s still needs to be explored.Methods: Herein, The Cancer Genome Atlas (TCGA) expression profile data …