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Found 5 papers, 2 papers with code
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network
There have been many image denoisers using deep neural networks, which outperform conventional model-based methods by large margins.
Lightweight Hybrid Video Compression Framework Using Reference-Guided Restoration Network
The decoder is constructed with corresponding video/image decoders and a new restoration network, which enhances the compressed video in two-step processes.
PNI : Industrial Anomaly Detection using Position and Neighborhood Information
Because anomalous samples cannot be used for training, many anomaly detection and localization methods use pre-trained networks and non-parametric modeling to estimate encoded feature distribution.
Ranked #4 on
Anomaly Detection
on BTAD
(using extra training data)
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
Electroencephalogram (EEG) is an important diagnostic test that physicians use to record brain activity and detect seizures by monitoring the signals.
Ranked #1 on
Seizure Detection
on TUH EEG Seizure Corpus
LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network
Recent learning-based lossless image compression methods encode an image in the unit of subimages and achieve comparable performances to conventional non-learning algorithms.
