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Hybrid ELB-NN for accuracy and computational complexity tradeoffs
Hybrid ELB-NN for accuracy and computational complexity tradeoffs. Our experimental results indicate that the accuracy varies with the precisions of weights and activations with... -
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. -
Breaking the Deadly Triad with a Target Network
The dataset used in the paper "Breaking the Deadly Triad with a Target Network" for training and testing the proposed algorithms. -
A Mathematical Motivation for Complex-valued Convolutional Networks
A complex-valued convolutional network (convnet) implements the repeated application of the following composition of three operations, recursively applying the composition to an... -
Litter detection with deep learning: A comparative study
The dataset used for litter detection with deep learning: A comparative study. -
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... -
TransparentFPGAAccelerationwithTensorFlow
The dataset used in this paper is a collection of neural network acceleration with TensorFlow and FPGA. -
PrivCirNet: Efficient Private Inference via Block Circulant Transformation
PrivCirNet: Efficient Private Inference via Block Circulant Transformation -
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synt...
Synthetic data generated from a conditional Gaussian distribution to establish a reference characterizing the robustness-accuracy tradeoff based on the Bayes optimal linear... -
Group-sparse autoencoders for clustering
The MNIST dataset is used to demonstrate the clustering capability of the proposed group-sparse autoencoder. -
q-Space Deep Learning
q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. -
DEEVA: A Deep Learning and IoT Based Computer Vision System
A deep learning and IoT based computer vision system to process computer vision and natural language in real time in order to address the safety and security of production sites... -
Defects of Convolutional Decoder Networks in Frequency Representation
The dataset used in the paper to prove the representation defects of a cascaded convolutional decoder network in frequency representation. -
Fetal brain MRI analysis
Fetal brain MRI dataset for automatic linear measurements of the fetal brain -
HetACUMN for Improved Cryo-EM Pose Estimation & 3D Classification
HetACUMN consists of two tasks: variational image reconstruction and conditional pose prediction. The variational image reconstruction task follows the standard self-supervised... -
SqueezeJet: High-level Synthesis Accelerator
Deep convolutional neural networks have dominated the pattern recognition scene by providing much more accurate solutions in computer vision problems such as object recognition...
