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WAV2LETTER++
The dataset used in this paper is not explicitly mentioned, but it is implied to be a speech recognition dataset. -
End-to-End Latent Fingerprint Search
Latent fingerprints are one of the most important and widely used sources of evidence in law enforcement and forensic agencies. The proposed end-to-end latent search system is... -
Radnet: Radiologist Level Accuracy Using Deep Learning for Hemorrhage Detecti...
A dataset of studies tagged slice-wise by radiologists for training a deep learning algorithm for detection of hemorrhage in CT scans. -
Deep 3D Convolution Neural Network for CT Brain Hemorrhage Classification
A dataset of 40k studies assembled for training a 3D convolution neural network for CT brain hemorrhage classification. -
Improved ICH Classification Using Task-Dependent Learning
BloodNet is a deep learning architecture designed for optimal triaging of Head CTs, with the goal of decreasing the time from CT acquisition to accurate ICH detection. -
Sequential Prediction of Social Media Popularity with Deep Temporal Context N...
Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks. -
Dispersed Pixel Perturbation-based Imperceptible
Typical deep neural network (DNN) backdoor at- -
Concept Representation Learning with Contrastive Self-Supervised Learning
Concept-oriented deep learning (CODL) is a general approach to meet the future challenges for deep learning: learning with little or no external supervision, coping with test... -
CLIC intra coding challenge 2021, TECNICK dataset, DIV2K dataset
The dataset used in the paper is a combination of the CLIC intra coding challenge 2021, the TECNICK dataset, and the DIV2K dataset. -
End-to-End Deep and Shallow (EEDS) networks for image super-resolution
The proposed End-to-End Deep and Shallow (EEDS) networks method for image super-resolution. -
VAVD and UCNet
A new dataset for research on fake videos, and a deep learning based approach to identify fake videos with high accuracy using user comments. -
Deep Retinex Decomposition for Low-Light Enhancement
The dataset used for training and testing the proposed deep retinex decomposition model. -
Unsupervised Deep Single-Image Intrinsic Decomposition
The dataset used for training and testing the proposed deep single-image intrinsic decomposition model. -
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata
Medical image segmentation with Deep Learning. This requirement makes it difficult to run state-of-the-art segmentation models in resource-constrained scenarios like primary... -
Litter detection with deep learning: A comparative study
The dataset used for litter detection with deep learning: A comparative study. -
Real-time littering detection for smart cities using deep learning algorithm
The dataset used for real-time littering detection for smart cities using deep learning algorithm. -
Trashbusters: Deep Learning Approach for Litter Detection and Tracking
The dataset used for litter detection and tracking using deep learning techniques. -
TensorQuant
TensorQuant toolbox is used to apply fixed point quantization to DNNs. The simulations are focused on popular CNN topologies, such as Inception V1, Inception V3, ResNet 50 and... -
U-Sleep dataset
The dataset used in this study is a large polysomnography (PSG) dataset containing 19578 recordings from 15322 subjects of 12 publicly available clinical studies.
