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MNIST handwritten digit database
The MNIST handwritten digit database is a dataset of 60,000 8x8 grayscale images of handwritten digits. -
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
The dataset used in the paper is a multiresolution hash encoding for neural graphics primitives. -
Sunny Test Dataset
The Sunny Test Dataset is used for testing, it contains 2114 images from nine distinct rooms. -
Night Test Dataset
The Night Test Dataset is used for testing, it contains 2707 images from nine distinct rooms. -
Cloudy Test Dataset
The Cloudy Test Dataset is used for testing, it contains 2595 images from nine distinct rooms. -
Validation Dataset
The Validation Dataset is used for validation, it contains 1428 images from nine distinct rooms. -
Baseline Training Dataset
The Baseline Training Dataset is used for training the CNN model, it contains 556 images from nine distinct rooms. -
COLD Freiburg Database
The COLD Freiburg Database contains omnidirectional images captured by a robot which follows various paths within a building at Freiburg University. -
Gabor Layers Enhance Network Robustness
The dataset used in this paper is MNIST, SVHN, CIFAR10, CIFAR100, and ImageNet. -
OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matc...
Local feature matching is an essential component in many visual applications. In this work, we propose OAMatcher, a detector-free method that imitates humans behavior to realize... -
CIFAR10/100, ImageNet, and CUB-200
The dataset used in this paper is CIFAR10/100, ImageNet, and CUB-200. -
PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cl...
Reconstructing textured meshes from colored point clouds is an important but challenging task in 3D graphics and vision. Most existing methods predict colors as implicit... -
ILSVRC2012
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a subset of the validation dataset used for the ImageNet Large Scale Visual... -
MNIST and CIFAR10
The MNIST and CIFAR10 datasets are used to evaluate the proposed Adversarial Training with Transferable Adversarial Examples (ATTA) method. -
Mask R-CNN
The dataset used in this paper for training and testing the KAISA optimizer framework. -
Custom Dataset
The authors created a custom dataset for their experiment, consisting of 33,000 images of 320 possible object-image combinations, with 10 possible shapes, 8 possible colors, 2... -
The Theoretical Expressiveness of Maxpooling
The dataset used in this paper is not explicitly described, but it is mentioned that the authors examined the trend away from max pooling in newer architectures.
