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Scalable person re-identification: A benchmark
The Market-1501 dataset is a large-scale benchmark for person re-identification. -
Tursun et al.'s dataset
Tursun et al.'s dataset is used for testing the proposed HDR-Transformer. -
Sen et al.'s dataset
Sen et al.'s dataset is used for testing the proposed HDR-Transformer. -
Kalantari et al.'s dataset
Kalantari et al.'s dataset consists of 74 samples for training and 15 samples for testing. -
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches t...
A deep learning model that learns subject-level representation from a set of local features. The model represents the image volume as a bag (or set) of local features and can... -
Sintel Dataset
The dataset used in the paper is a Sintel dataset, which consists of low-resolution optical flow maps and their corresponding high-resolution RGB images. -
Structural Vision Transformer
Structural Vision Transformer (StructViT) is a vision transformer network that leverages structural self-attention (StructSA) to capture correlation structures in images and... -
Waste Classification using Computer Vision and Deep Learning
Dataset for waste classification using computer vision and deep learning -
Convolutional Neural Networks with Approximate Multiplication
The dataset used in this paper for convolutional neural networks (CNNs) with approximate multiplication. -
Tanks and Temples
Neural Radiance Fields (NeRFs) model a 3D scene as a volumetric function, which can be rendered from arbitrary viewpoints to generate highly-realistic images. -
CIFAR-10, CIFAR-100 and ImageNet-1K
The dataset used in the paper is CIFAR-10, CIFAR-100 and ImageNet-1K. -
MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering
A novel framework for one- and few-shot neural rendering that predicts a neural representation of a 3D scene using Orthogonal Moments. -
MobileNetV2
The dataset used in this paper is a MobileNetV2 model, which is a type of deep neural network. The dataset is used to evaluate the performance of the proposed heterogeneous system. -
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis -
ModelNet10
3D Convolutional Neural Networks are sensitive to transformations applied to their input. This is a problem because a voxelized version of a 3D object, and its rotated clone,... -
ORB-SLAM3-Enhanced Autonomous Toy Drones: Pioneering Indoor Exploration
The dataset used in the paper is a set of point clouds generated by ORB-SLAM3, a state-of-the-art vision feature-based SLAM system. -
Synthetic Dataset
The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs... -
Street View House Number (SVHN) dataset
The Street View House Number (SVHN) dataset consists of 32x32 RGB images of house numbers captured from Google Street View.
