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CIFAR10 and CIFAR100 datasets
The CIFAR10 and CIFAR100 datasets are used to evaluate the proposed randomized defense method. -
CIFAR10 and ImageNet Datasets
CIFAR10 and ImageNet datasets are used as the original task for the pre-trained models. -
Dynamic Batch Norm Statistics Update for Natural Robustness
CIFAR10-C and ImageNet-C datasets are used to evaluate the proposed framework for improving the natural robustness of trained DNNs against corrupted inputs. -
LSUN Horse
A dataset for training the ArtScore model -
ArtScore Dataset
A dataset for training the ArtScore model -
DFNet: Discriminative feature extraction and integration network for salient ...
The proposed method for saliency detection task, which is composed of two main modules. -
Semantic3D
A large-scale point cloud classification benchmark, focusing on semantic segmentation of urban scenes. -
Beta-VAE for Audio Signal Processing in Canteras
Dataset of sound records from different points of the processing line in canteras -
Deep learning to improve breast cancer detection on screening mammography
A deep learning approach for breast cancer detection on screening mammography. -
TDT4173 - Method Paper
A survey of the foundations, selected improvements, and some current applications of Deep Convolutional Neural Networks (CNNs). -
CelebA, LFWA, and RaFD datasets
The datasets used in this paper are CelebA, LFWA, and RaFD. -
A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
A benchmark dataset and evaluation methodology for video object segmentation. -
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
Frozen in time: A joint video and image encoder for end-to-end retrieval.