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A dataset of multi-illumination images in the wild
A dataset of multi-illumination images in the wild. -
CIFAR100 and ImageNet
The dataset used in the paper is CIFAR100 and ImageNet. -
Training dataset generation for bridge game registration
The proposed method of automatic dataset generation for cards detection and classification makes it possible to obtain any number of images of any size, which can be used to... -
Argoverse: 3D tracking and forecasting with rich maps
The Argoverse dataset includes 65 training and 24 validation sequences recorded in Miami and Pittsburgh. -
Hardware-Aware Latency Pruning
The proposed hardware-aware latency pruning (HALP) paradigm. Considering both performance and latency contributions, HALP formulates global structural pruning as a global... -
PERMUTOHEDRAL LATTICE CONVOLUTION
The permutohedral lattice convolution is used to process sparse input features, allowing for efficient filtering of signals that do not lie on a dense grid. -
SqueezeNext dataset
The dataset used in the paper is the SqueezeNext dataset, which is a variant of the SqueezeNext model. -
ResNet18 dataset
The dataset used in the paper is the ResNet18 dataset, which is a convolutional neural network dataset. -
MobileNetV2 dataset
The dataset used in the paper is the MobileNetV2 dataset, which is a pre-trained deep neural network model. -
EfficientNet-Lite0 dataset
The dataset used in the paper is the EfficientNet-Lite0 dataset, which is a variant of the EfficientNet model. -
3D Gaussian Splatting for Real-time Radiance Field Rendering
The dataset used in the paper for 3D Gaussian splatting for real-time radiance field rendering. -
ChestXray14
Chest radiography is one of the most ubiquitous diagnostic modalities for cardiothoracic and pulmonary abnormalities in the clinical setting. A timely diagnostic based on the... -
DeepRA: Predicting Joint Damage from Radiographs Using CNN with Attention
Joint damage in Rheumatoid Arthritis (RA) is assessed by manually inspecting and grading radio-graphs of hands and feet. This is a tedious task which requires trained experts... -
CIFAR-10-C and ImageNet-C
The dataset used in the paper is CIFAR-10-C and ImageNet-C, which are common corruption benchmarks. -
Cornell Grasp Detection Data Set
The Cornell Grasp Detection Data Set consists of 1035 images of 280 different objects, with several images taken of each object by different orientations or poses. -
FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Con...
FashionEngine is an interactive 3D human generation and editing system that enables easy and efficient production of 3D digital humans with multimodal control. -
Group Equivariant Convolutional Networks
We introduce Group equivariant Convolutional Neural Networks (G-CNNs), a natural generalization of convolutional neural networks that reduces sample complexity by exploiting... -
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Me...
A text-driven animated human mesh synthesis system that leverages multi-modal aware and semantic textual matching. -
DR and AMD fundus image classification
The dataset used in this paper for retinal diseases classification, including diabetic retinopathy (DR) and age-related macular degeneration (AMD).
