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Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated L...
Paucity of large curated hand-labeled training data for every domain-of-interest forms a major bottleneck in the deployment of machine learning models in computer vision and... -
Fashion-MNIST, CIFAR-10, and GTSRB datasets
The Fashion-MNIST, CIFAR-10, and GTSRB datasets were used to evaluate differentiable logics for learning systems. -
MLPerf Benchmark Dataset
The dataset used in this paper is the MLPerf benchmark dataset. -
Geometric Multi-Model Fitting
A geometric multi-model fitting dataset -
Object-agnostic State Classification
The proposed method for Object-agnostic State Classification (OaSC) combines structured knowledge on object states with visual information that relates the appearance of certain... -
CIFAR-10-LT and CIFAR-100-LT
We create the long-tailed CIFAR versions following [7,11] with controllable degrees of data imbalance, and keep the test set unchanged. -
Automated Solubility Analysis System and Method Using Computer Vision and Mac...
A novel active solubility sensing device using computer vision is proposed to improve separation purification performance and prevent malfunctions of separation equipment. -
GalliformeSpectra: A Hen Breed Dataset
A comprehensive dataset featuring ten distinct hen breeds, capturing unique characteristics and traits of each breed. -
Visually lossless content and motion adaptive shading in games
A dataset for visually lossless content and motion adaptive shading -
The Falcor Rendering Framework
A dataset for the Falcor rendering framework -
Perceptual model for adaptive local shading and refresh rate
A dataset for perceptual model for adaptive local shading and refresh rate -
RT-Percept
A dataset for training and predicting visual error metrics for real-time applications -
Lifelong-CIFAR10 and Lifelong-ImageNet
Lifelong-CIFAR10 and Lifelong-ImageNet are ever-expanding pools of test samples designed to enhance the robustness of current benchmarks by mitigating the issue of overfitting... -
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress -
Multi-Mice PartsTrack dataset
The Multi-Mice PartsTrack dataset is a challenging dataset for multi-mice part tracking in videos. It contains 10 videos of two or three mice interacting freely in a home cage... -
Deep polynomial regression
Polynomial regression problem with naturally strong outliers. In such a setting a polynomial motion model for a moving scene is interpreted as the dominant scene motion stemming... -
Efficient and Robust Classification for Sparse Attacks
The MNIST and CIFAR datasets are used to test the robustness of neural networks against sparse attacks. -
Attention Based Simple Primitives for Open World Compositional Zero Shot Lear...
Compositional Zero-Shot Learning (CZSL) aims to predict unknown compositions made up of attribute and object pairs.