Results 11 to 20 of about 10,850,903 (220)
UCN-YOLOv5: Traffic Sign Object Detection Algorithm Based on Deep Learning
IEEE Access, 2023 Traffic sign detection plays an important role in traffic safety and traffic management. In view of the complex and changeable environment and detection accuracy of traffic sign detection, this paper proposes UCN-YOLOv5 model based on the framework of ...
Peilin Liu, Zhaoyang Xie, Taijun Li
doaj +1 more source
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations. It aims to provide effective, reproducible, and easy-to-use first-stage retrieval in a multi-stage ranking architecture.
Jimmy J. Lin +6 more
semanticscholar +1 more source
Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction
Entropy, 2023 An important challenge in machine learning is performing with accuracy when few training samples are available from the target distribution. If a large number of training samples from a related distribution are available, transfer learning can be used to
Nathan Cornille +3 more
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Children’s information retrieval: beyond examining search strategies and interfaces [PDF]
, 2008 The study of children’s information retrieval is still for the greater part untouched territory. Meanwhile, children can become lost in the digital information world, because they are confronted with search interfaces, both designed by and for adults ...
Huibers, T.W.C. +2 more
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Complexity, 2023 Many real-world systems of various origins are capable of self-organization to the edge of a phase transition, characterized by avalanche-like behavior. Therefore, it is important, by observing the behavior of early warning measures for dynamical series ...
Andrey Dmitriev +3 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Electroencephalography-to-Text generation (EEG-to-Text), which aims to directly generate natural text from EEG signals has drawn increasing attention in recent years due to the enormous potential for Brain-computer interfaces.
Xiachong Feng +3 more
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Frontiers in Physics, 2023 Many different precursors are known, but not all of which are effective, i.e., giving enough time to take preventive measures and with a minimum number of false early warning signals.
Andrey Dmitriev +4 more
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Declarative Experimentation in Information Retrieval using PyTerrier [PDF]
International Conference on the Theory of Information Retrieval, 2020 The advent of deep machine learning platforms such as Tensorflow and Pytorch, developed in expressive high-level languages such as Python, have allowed more expressive representations of deep neural network architectures.
Craig Macdonald, N. Tonellotto
semanticscholar +1 more source
In-Context Retrieval-Augmented Language Models [PDF]
Transactions of the Association for Computational Linguistics, 2023 Retrieval-Augmented Language Modeling (RALM) methods, which condition a language model (LM) on relevant documents from a grounding corpus during generation, were shown to significantly improve language modeling performance. In addition, they can mitigate
Ori Ram +6 more
semanticscholar +1 more source
A large dataset of scientific text reuse in Open-Access publications
Scientific Data, 2023 We present the Webis-STEREO-21 dataset, a massive collection of Scientific Text Reuse in Open-access publications. It contains 91 million cases of reused text passages found in 4.2 million unique open-access publications.
Lukas Gienapp +4 more
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