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A Ray-tracing and Deep Learning Fusion Super-resolution Modeling Method for W...
A dataset for wireless mobile channel modeling, including ray tracing and deep learning fusion super-resolution modeling method for cluster characteristics prediction. -
DiverseVul
A new vulnerable source code dataset for deep learning based vulnerability detection. -
Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation...
A deep learning head model for fast whole-brain strain calculation -
Cross-scale Attention Model for Acoustic Event Classification
The proposed framework is tested on two datasets: UrbanSound8K corpus and DCASE2017 T4 corpus. -
Authentication of Copy Detection Patterns under Machine Learning Attacks: A S...
Copy detection patterns (CDP) are an attractive technology that allows manufacturers to defend their products against counterfeiting. The main assumption behind the protection... -
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning
Facial image retrieval is a challenging task since faces have many similar features (areas), which makes it difficult for the retrieval systems to distinguish faces of different... -
Wildfire Risk Prediction
Wildfire risk prediction dataset -
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Le...
The dataset used in the paper is a collection of expert demonstrations for various tasks, including robotic manipulation, maze navigation, and Atari games. -
Diagnosing Bottlenecks in Deep Q-Learning Algorithms
The dataset used in the paper is a collection of expert demonstrations for various tasks, including robotic manipulation, maze navigation, and Atari games. -
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
A hierarchical feature learning approach for 3D point cloud processing. -
Light Field Saliency Database (LFSD)
A light field saliency dataset for saliency detection, which contains 100 light fields with 360 × 360 spatial resolution. -
Lytro Illum dataset
A comprehensive novel light field dataset for saliency detection, which comprises of 640 high-quality light fields and the corresponding per-pixel ground-truth saliency maps. -
Torchattacks: A PyTorch Repository for Adversarial Attacks
Torchattacks is a PyTorch library that contains adversarial attacks to generate adversarial examples and to verify the robustness of deep learning models. -
DeepSNR: A deep learning foundation for offline gravitational wave detection
The DeepSNR detection pipeline uses a novel method for generating an SNR ranking statistic from deep learning classifiers, providing for the first time a foundation for powerful... -
SGNet: Folding Symmetrical Protein Complex with Deep Learning
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,... -
Child Growth Monitor Dataset
A dataset of depth images collected from children under 5 years of age using a smartphone, used for height estimation. -
Zoom and Learn
The dataset used for zoom and learn, a method for generalizing deep stereo matching. -
Database of Multichannel In-Ear and Behind-the-Ear Head-Related and Binaural ...
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. -
INTERSPEECH 2020 Deep Noise Suppression Challenge
The dataset used for evaluation of the proposed deep binaural MFMVDR filter, comprising measured binaural room impulse responses and clean speech and noise.