314 datasets found

The SGNet dataset is a benchmark for symmetrical protein complex structure prediction. It contains a set of symmetrical protein complexes with different symmetry types (C, D, T,...

A dataset of depth images collected from children under 5 years of age using a smartphone, used for height estimation.

The dataset used for zoom and learn, a method for generalizing deep stereo matching.

The dataset used for training and validation of the proposed deep binaural MFMVDR filter, comprising simulated binaural room impulse responses and clean speech and noise.

The dataset used for evaluation of the proposed deep binaural MFMVDR filter, comprising measured binaural room impulse responses and clean speech and noise.

The dataset used for training and validation of the proposed deep binaural MFMVDR filter, comprising simulated binaural room impulse responses and clean speech and noise.

The dataset used in the paper "Breaking the Deadly Triad with a Target Network" for training and testing the proposed algorithms.

PrivCirNet: Efficient Private Inference via Block Circulant Transformation

The dataset used in this paper is a binary neural network model.

Human vision is naturally more attracted by some regions within their field of view than others. This intrinsic selectivity mechanism, so-called visual attention, is influenced...

Human vision is naturally more attracted by some regions within their field of view than others. This intrinsic selectivity mechanism, so-called visual attention, is influenced...

Change detection is a crucial but extremely challenging task in remote sensing image analysis, and much progress has been made with the rapid development of deep learning....

The MNIST dataset is used to demonstrate the clustering capability of the proposed group-sparse autoencoder.

The proposed interpretable CADx framework is devised to provide the diagnostic decision with interpretation in terms of medical descriptions (BI-RADS).

Moving Infants In RGB-D (MINI-RGBD) dataset is used for CP prediction. The dataset contains 12 sequences of real infant movements.

A synthetic dataset of evacuation scenarios for training a deep learning model to predict pedestrian evacuation time and density from floorplans.

Human vision is naturally more attracted by some regions within their field of view than others. This intrinsic selectivity mechanism, so-called visual attention, is influenced...

The CIC 2020 dataset is a collection of images with different compression methods.

A dataset of 13,887 bitewings from the HUNT4 Oral Health Study were annotated individually by six different experts, and used to train three different object detection...

Facial landmark detection is a crucial prerequisite for many face analysis applications. Deep learning-based methods currently dominate the approach of addressing the facial...