AIMC Topic: Data Compression

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A unified noise and watermark removal from information bottleneck-based modeling.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2024
Both image denoising and watermark removal aim to restore a clean image from an observed noisy or watermarked one. The past research consists of the non-learning type with limited effectiveness or the learning types with limited interpretability. To ...
Humans Neural Networks, Computer Signal-To-Noise Ratio Data Compression Algorithms Image Processing, Computer-Assisted
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Sparse Coding Inspired LSTM and Self-Attention Integration for Medical Image Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Oct 25, 2024
Accurate and automatic segmentation of medical images plays an essential role in clinical diagnosis and analysis. It has been established that integrating contextual relationships substantially enhances the representational ability of neural networks...
Databases, Factual Image Processing, Computer-Assisted Data Compression Neural Networks, Computer Algorithms Humans
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Dual-stage feedback network for lightweight color image compression artifact reduction.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
Lossy image coding techniques usually result in various undesirable compression artifacts. Recently, deep convolutional neural networks have seen encouraging advances in compression artifact reduction. However, most of them focus on the restoration o...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Algorithms Feedback Artifacts Data Compression Color
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Joint Dual Feature Distillation and Gradient Progressive Pruning for BERT compression.

Neural networks : the official journal of the International Neural Network Society Jul 17, 2024
The increasing size of pre-trained language models has led to a growing interest in model compression. Pruning and distillation are the primary methods employed to compress these models. Existing pruning and distillation methods are effective in main...
Humans Neural Networks, Computer Algorithms Data Compression
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LD-CSNet: A latent diffusion-based architecture for perceptual Compressed Sensing.

Neural networks : the official journal of the International Neural Network Society Jul 14, 2024
Compressed Sensing (CS) is a groundbreaking paradigm in image acquisition, challenging the constraints of the Nyquist-Shannon sampling theorem. This enables high-quality image reconstruction using a minimal number of measurements. Neural Networks' po...
Diffusion Data Compression Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Humans
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Sharing massive biomedical data at magnitudes lower bandwidth using implicit neural function.

Proceedings of the National Academy of Sciences of the United States of America Jul 3, 2024
Efficient storage and sharing of massive biomedical data would open up their wide accessibility to different institutions and disciplines. However, compressors tailored for natural photos/videos are rapidly limited for biomedical data, while emerging...
Information Dissemination Data Compression Humans Neural Networks, Computer Biomedical Research Deep Learning
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Multi-file dynamic compression method based on classification algorithm in DNA storage.

Medical & biological engineering & computing Jun 26, 2024
The exponential growth in data volume has necessitated the adoption of alternative storage solutions, and DNA storage stands out as the most promising solution. However, the exorbitant costs associated with synthesis and sequencing impeded its develo...
Humans Machine Learning Algorithms DNA Data Compression
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VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision.

IEEE transactions on pattern analysis and machine intelligence Jun 5, 2024
Almost all digital videos are coded into compact representations before being transmitted. Such compact representations need to be decoded back to pixels before being displayed to humans and - as usual - before being enhanced/analyzed by machine visi...
Image Processing, Computer-Assisted Video Recording Neural Networks, Computer Humans Algorithms Data Compression
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GenCoder: A Novel Convolutional Neural Network Based Autoencoder for Genomic Sequence Data Compression.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2024
Revolutionary advances in DNA sequencing technologies fundamentally change the nature of genomics. Today's sequencing technologies have opened into an outburst in genomic data volume. These data can be used in various applications where long-term sto...
Sequence Analysis, DNA Data Compression Genomics Algorithms Deep Learning Humans Neural Networks, Computer
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Compressing neural networks via formal methods.

Neural networks : the official journal of the International Neural Network Society May 29, 2024
Advancements in Neural Networks have led to larger models, challenging implementation on embedded devices with memory, battery, and computational constraints. Consequently, network compression has flourished, offering solutions to reduce operations a...
Markov Chains Data Compression Neural Networks, Computer Algorithms Humans
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