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Pothole Detection Dataset
A dataset of images with pothole annotations from various sources, including Google Earth Pro, AUTOPILOT videos, and GoPro camera images. -
DeepGrowth: A Deep Learning Model for Vestibular Schwannoma Growth Prediction
Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields -
PID Dataset
A comprehensive dataset for training deep learning algorithms for classifying different types of pavement distress. -
TDT4173 - Method Paper
A survey of the foundations, selected improvements, and some current applications of Deep Convolutional Neural Networks (CNNs). -
Component Training of Turbo Autoencoders
The dataset used in this paper is a serial Turbo Autoencoder (TurboAE) with Gaussian priors (TGP) for component training. -
Hardware-Oriented Acceleration of Deep Convolutional Neural Networks
To address memory and computation resource limitations for hardware-oriented acceleration of deep convolutional neural networks (CNNs), we present a compu-tation flow, stacked... -
DeiT and ViT models on ImageNet-1k and CIFAR-100
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used DeiT and ViT models on ImageNet-1k and CIFAR-100 datasets. -
DropIT: DROPPING INTERMEDIATE TENSORS FOR MEMORY-EFFICIENT DNN TRAINING
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used DeiT and ViT models on ImageNet-1k and CIFAR-100 datasets. -
Low Precision Deep Learning Operators
The dataset used in this paper for low precision deep learning operators. -
Phase Extraction Neural Network (PhENN)
The Phase Extraction Neural Network (PhENN) is a deep learning architecture that can be trained to recover an unknown phase object from the raw intensity measurement obtained... -
99mTc-sestamibi SPECT dataset
A dataset of 99mTc-sestamibi SPECT images for automatic reorientation and segmentation of the left ventricle. -
13N-ammonia PET dataset
A dataset of 13N-ammonia PET images for automatic reorientation and segmentation of the left ventricle. -
Multi-Scale Spatial Transformer U-Net for Automatic Reorientation and Segment...
A dataset of 3D nuclear cardiac images for automatic reorientation and segmentation of the left ventricle. -
CT-GAN Attack Dataset
A dataset of 70 tampered and 30 authentic CT scans for evaluation of CT-GAN attack -
Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning
A deep learning-based computer-aided detection (CADe) method to detect breast lesions in ultrafast DCE-MRI sequences. -
U-net: Convolutional networks for biomedical image segmentation
The U-net is a deep convolutional neural network for biomedical image segmentation. -
Gabor Layers Enhance Network Robustness
The dataset used in this paper is MNIST, SVHN, CIFAR10, CIFAR100, and ImageNet. -
Low-Rank-Based Nonlocal Adaptive Loop Filter for High-Efficiency Video Compre...
The proposed non-local adaptive loop filter for HEVC. -
Residual Highway Convolutional Neural Networks for In-Loop Filtering in HEVC
The proposed RHCNN model for in-loop filtering in HEVC. -
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC
The proposed MIF approach enhances the quality of each encoded frame leveraging multiple adjacent frames.
