Results 31 to 40 of about 1,057,004 (267)
Scene classification for remote sensing images with self‐attention augmented CNN
IET Image Processing, 2022 Remote sensing scene classification aims to automatically assign a specific semantic label to each image. It is challenging to classify remote sensing scene images due to the images' diversity and rich spatial information.
Zongyin Liu +5 more
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Improving BERT With Self-Supervised Attention
IEEE Access, 2021 One of the most popular paradigms of applying large pre-trained NLP models such as BERT is to fine-tune it on a smaller dataset. However, one challenge remains as the fine-tuned model often overfits on smaller datasets.
Yiren Chen +3 more
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LSTM-CRF Neural Network With Gated Self Attention for Chinese NER
IEEE Access, 2019 Named entity recognition (NER) is an essential part of natural language processing tasks. Chinese NER task is different from the many European languages due to the lack of natural delimiters. Therefore, Chinese Word Segmentation (CWS) is usually regarded
Yanliang Jin +5 more
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SAE‐CenterNet: Self‐attention enhanced CenterNet for small dense object detection
Electronics Letters, 2023 The existing object detection models have not been sufficiently optimized for small dense objects. One of the most common solutions is to extract multi‐scale features via feature pyramid network (FPN).
Yaoshun Li, Lizhi Liu, Tongwei Lu
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The function of the self-attention network [PDF]
Cognitive Neuroscience, 2015 This commentary links Humphrey and Sui's proposed Self-attention Network (SAN) to the memory advantage associated with self-relevant information (i.e., the self-reference effect). Articulating this link elucidates the functional quality of the SAN in ensuring that information of potential importance to self is not lost.
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Self-attentive Adversarial Stain Normalization
, 2021 Hematoxylin and Eosin (H&E) stained Whole Slide Images (WSIs) are utilized for biopsy visualization-based diagnostic and prognostic assessment of diseases. Variation in the H&E staining process across different lab sites can lead to significant variations in biopsy image appearance. These variations introduce an undesirable bias when the slides
Aman Shrivastava +9 more
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Self-Attentive Hawkes Processes
CoRR, 2019 Asynchronous events on the continuous time domain, e.g., social media actions and stock transactions, occur frequently in the world. The ability to recognize occurrence patterns of event sequences is crucial to predict which typeof events will happen next and when. A de facto standard mathematical framework to do this is the Hawkes process. In order to
Qiang Zhang 0026 +3 more
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Self-Attention for Speech Emotion Recognition [PDF]
Interspeech 2019, 2019 Speech Emotion Recognition (SER) has been shown to benefit from many of the recent advances in deep learning, including recurrent based and attention based neural network architectures as well. Nevertheless, performance still falls short of that of humans.
Lorenzo Tarantino +2 more
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Informer Photovoltaic Power Generation Forecasting Based on Cycle Information Enhancement
Zhongguo dianli, 2023 Aiming at the problem that the photovoltaic power generation power prediction method is difficult to capture hierarchical time series information, which results in the limited improvement of prediction accuracy.
Qian ZHANG +4 more
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