AIMC Topic: Data Compression

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SensiMix: Sensitivity-Aware 8-bit index & 1-bit value mixed precision quantization for BERT compression.

PloS one Apr 18, 2022
Given a pre-trained BERT, how can we compress it to a fast and lightweight one while maintaining its accuracy? Pre-training language model, such as BERT, is effective for improving the performance of natural language processing (NLP) tasks. However, ...
Natural Language Processing Language Data Compression
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Deep-learning-based projection-domain breast thickness estimation for shape-prior iterative image reconstruction in digital breast tomosynthesis.

Medical physics Mar 30, 2022
BACKGROUND: Digital breast tomosynthesis (DBT) is a technique that can overcome the shortcomings of conventional X-ray mammography and can be effective for the early screening of breast cancer. The compression of the breast is essential during the DB...
Deep Learning Image Processing, Computer-Assisted Female Breast Neoplasms Phantoms, Imaging Data Compression Mammography Breast Humans Algorithms
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Skeleton-Based Spatio-Temporal U-Network for 3D Human Pose Estimation in Video.

Sensors (Basel, Switzerland) Mar 28, 2022
Despite the great progress in 3D pose estimation from videos, there is still a lack of effective means to extract spatio-temporal features of different granularity from complex dynamic skeleton sequences. To tackle this problem, we propose a novel, s...
Humans Neural Networks, Computer Data Compression Skeleton Semantics Pressure
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Research on Lung Ultrasound Image Classification Based on Compressed Sensing.

Journal of healthcare engineering Mar 23, 2022
Pneumothorax is a common injury in disaster rescue, traffic accidents, and war trauma environments and requires early diagnosis and treatment. The commonly used X-ray, CT, and other diagnostic instruments are not suitable for rescue sites due to thei...
Data Compression Thorax Humans Neural Networks, Computer Lung Ultrasonography
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Compression of Deep Neural Networks based on quantized tensor decomposition to implement on reconfigurable hardware platforms.

Neural networks : the official journal of the International Neural Network Society Mar 8, 2022
Deep Neural Networks (DNNs) have been vastly and successfully employed in various artificial intelligence and machine learning applications (e.g., image processing and natural language processing). As DNNs become deeper and enclose more filters per l...
Algorithms Artificial Intelligence Neural Networks, Computer Data Compression Machine Learning
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Deep Learning Post-Filtering Using Multi-Head Attention and Multiresolution Feature Fusion for Image and Intra-Video Quality Enhancement.

Sensors (Basel, Switzerland) Feb 10, 2022
The paper proposes a novel post-filtering method based on convolutional neural networks (CNNs) for quality enhancement of RGB/grayscale images and video sequences. The lossy images are encoded using common image codecs, such as JPEG and JPEG2000. The...
Data Compression Deep Learning Video Recording Neural Networks, Computer
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First Gradually, Then Suddenly: Understanding the Impact of Image Compression on Object Detection Using Deep Learning.

Sensors (Basel, Switzerland) Feb 1, 2022
Video surveillance systems process high volumes of image data. To enable long-term retention of recorded images and because of the data transfer limitations in geographically distributed systems, lossy compression is commonly applied to images prior ...
Data Compression Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
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PCA driven mixed filter pruning for efficient convNets.

PloS one Jan 24, 2022
Deployment of the deep neural networks (DNNs) on resource-constrained devices is a challenging task due to their limited memory and computational power. In most cases, the pruning techniques do not prune the DNNs to full extent and redundancy still e...
Data Compression Neural Networks, Computer Principal Component Analysis Software Datasets as Topic Models, Statistical
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Joint segmentation and classification of breast masses based on ultrasound radio-frequency data and convolutional neural networks.

Ultrasonics Jan 14, 2022
In this paper, we propose a novel deep learning method for joint classification and segmentation of breast masses based on radio-frequency (RF) ultrasound (US) data. In comparison to commonly used classification and segmentation techniques, utilizing...
Retrospective Studies Diagnosis, Differential Ultrasonography, Mammary Data Compression Radio Waves Humans Neural Networks, Computer Breast Diseases
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Telemetry Data Compression Algorithm Using Balanced Recurrent Neural Network and Deep Learning.

Computational intelligence and neuroscience Jan 10, 2022
Telemetric information is great in size, requiring extra room and transmission time. There is a significant obstruction of storing or sending telemetric information. Lossless data compression (LDC) algorithms have evolved to process telemetric data e...
Neural Networks, Computer Data Compression Algorithms Telemetry Deep Learning
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