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08/17/2023
META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection
For learning-based sound event localization and detection (SELD) methods...
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07/08/2023
Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images
Segmentation of the infected areas of the lung is essential for quantify...
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06/01/2023
Doubly Robust Self-Training
Self-training is an important technique for solving semi-supervised lear...
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02/26/2023
PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection
Automatically extracting roads from satellite imagery is a fundamental y...
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02/21/2023
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
Weather forecasting is one of the cornerstones of meteorological work. I...
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01/30/2023
Zero-shot Clarifying Question Generation for Conversational Search
A long-standing challenge for search and conversational assistants is qu...
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12/14/2022
Pre-trained Language Models can be Fully Zero-Shot Learners
How can we extend a pre-trained model to many language understanding tas...
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11/25/2022
Privileged Prior Information Distillation for Image Matting
Performance of trimap-free image matting methods is limited when trying ...
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09/05/2022
Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains
Sound event localization and detection (SELD) is a joint task of sound e...
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03/19/2022
A Track-Wise Ensemble Event Independent Network for Polyphonic Sound Event Localization and Detection
Polyphonic sound event localization and detection (SELD) aims at detecti...
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03/15/2022
Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation
How to learn highly compact yet effective sentence representation? Pre-t...
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01/11/2022
Utilizing Parallelism in Smart Contracts on Decentralized Blockchains by Taming Application-Inherent Conflicts
Traditional public blockchain systems typically had very limited transac...
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01/05/2022
Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attention
Multi-scale representations are crucial for semantic segmentation. The c...
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10/07/2020
Adaptive Self-training for Few-shot Neural Sequence Labeling
Neural sequence labeling is an important technique employed for many Nat...
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09/14/2020
GINet: Graph Interaction Network for Scene Parsing
Recently, context reasoning using image regions beyond local convolution...
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03/15/2020
FGSD: A Dataset for Fine-Grained Ship Detection in High Resolution Satellite Images
Ship detection using high-resolution remote sensing images is an importa...
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02/11/2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Key for solving fine-grained image categorization is finding discriminat...
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01/31/2020
C-DLinkNet: considering multi-level semantic features for human parsing
Human parsing is an essential branch of semantic segmentation, which is ...
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11/28/2019
Performance Comparison of UCA and UCCA based Real-time Sound Source Localization Systems using Circular Harmonics SRP Method
Many sound source localization (SSL) algorithms based on circular microp...
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11/22/2019
Learning Feature Interactions with Lorentzian Factorization Machine
Learning representations for feature interactions to model user behavior...
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09/10/2019
LVMapper: A Large-variance Clone Detector Using Sequencing Alignment Approach
To detect large-variance code clones (i.e. clones with relatively more d...
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10/19/2018
Towards Efficient Large-Scale Graph Neural Network Computing
Recent deep learning models have moved beyond low-dimensional regular gr...
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05/22/2018
