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08/18/2023
Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning
The past few years have witnessed the immense success of object detectio...
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06/07/2023
Enhancing In-Context Learning with Answer Feedback for Multi-Span Question Answering
Whereas the recent emergence of large language models (LLMs) like ChatGP...
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02/13/2023
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images
Advanced Patch Attacks (PAs) on object detection in natural images have ...
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12/26/2022
Fewer is More: Efficient Object Detection in Large Aerial Images
Current mainstream object detection methods for large aerial images usua...
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11/23/2022
DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data
Numerical reasoning over hybrid data containing tables and long texts ha...
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09/22/2022
Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping
Industrial analytics that includes among others equipment diagnosis and ...
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09/22/2022
Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding
Knowledge graphs (KG) are used in a wide range of applications. The auto...
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09/12/2022
Knowledge Base Question Answering: A Semantic Parsing Perspective
Recent advances in deep learning have greatly propelled the research on ...
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07/28/2022
Towards Large-Scale Small Object Detection: Survey and Benchmarks
With the rise of deep convolutional neural networks, object detection ha...
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04/21/2022
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation
Few-shot segmentation, which aims to segment unseen-class objects given ...
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03/16/2022
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension
Recent machine reading comprehension datasets such as ReClor and LogiQA ...
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03/15/2022
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Recently few-shot segmentation (FSS) has been extensively developed. Mos...
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01/20/2022
Adaptive neighborhood Metric learning
In this paper, we reveal that metric learning would suffer from serious ...
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01/06/2022
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling
Given an aerial image, aerial scene parsing (ASP) targets to interpret t...
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10/05/2021
Anchor-free Oriented Proposal Generator for Object Detection
Oriented object detection is a practical and challenging task in remote ...
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08/31/2021
When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions
Scenario-based question answering (SQA) requires retrieving and reading ...
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08/12/2021
Oriented R-CNN for Object Detection
Current state-of-the-art two-stage detectors generate oriented proposals...
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01/14/2021
TSQA: Tabular Scenario Based Question Answering
Scenario-based question answering (SQA) has attracted an increasing rese...
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05/03/2020
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Remote sensing image scene classification, which aims at labeling remote...
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05/01/2020
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
A prominent application of knowledge graph (KG) is document enrichment. ...
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05/01/2020
Neural Entity Summarization with Joint Encoding and Weak Supervision
In a large-scale knowledge graph (KG), an entity is often described by a...
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03/31/2020
SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases
Semantic parsing transforms a natural language question into a formal qu...
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03/08/2020
DeepLENS: Deep Learning for Entity Summarization
Entity summarization has been a prominent task over knowledge graphs. Wh...
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03/08/2020
ESBM: An Entity Summarization BenchMark
Entity summarization is the problem of computing an optimal compact summ...
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02/24/2020
Relaxing Relationship Queries on Graph Data
In many domains we have witnessed the need to search a large entity-rela...
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10/18/2019
Entity Summarization: State of the Art and Future Challenges
The increasing availability of semantic data, which is commonly represen...
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10/11/2019
GREASE: A Generative Model for Relevance Search over Knowledge Graphs
Relevance search is to find top-ranked entities in a knowledge graph (KG...
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08/31/2019
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
Substantial efforts have been devoted more recently to presenting variou...
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08/29/2019
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation
Reusing published datasets on the Web is of great interest to researcher...
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08/20/2019
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level
Scenario-based question answering (SQA) has attracted increasing researc...
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07/02/2019
A Framework for Evaluating Snippet Generation for Dataset Search
Reusing existing datasets is of considerable significance to researchers...
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05/15/2018
Graph-based Ontology Summarization: A Survey
Ontologies have been widely used in numerous and varied applications, e....
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03/01/2017
Remote Sensing Image Scene Classification: Benchmark and State of the Art
Remote sensing image scene classification plays an important role in a w...
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03/20/2016