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ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Laten...
Arbitrary Style Transfer (AST) aims to transform images by adopting the style from any selected artwork. Nonethe-less, the need to accommodate diverse and subjective user... -
PACS dataset
The dataset used in the paper is a large collection of small images, each representing a patch of a jigsaw puzzle. The patches are of the same size and orientation, and the goal... -
HTC-DC Net
The proposed network utilizes a classification-regression paradigm with a ViT to incorporate holistic features and local features. The regression phase with hybrid regression... -
A novel approach for multi-label chest X-ray classification of common thorax ...
A novel approach for multi-label chest X-ray classification of common thorax diseases. -
MPI3D dataset
The dataset used in the paper is a MPI3D dataset, which contains 3D images of objects with varying sizes and colors. -
Shapes3D dataset
The dataset used in the paper is a Shapes3D dataset, which contains 3D shapes with varying sizes and colors. -
Mitosis domain generalization challenge
The MIDOG Challenge was a competition on mitosis detection held at the International Conference on Medical Image Computing and Computer Assisted Intervention, 2021. -
Lidar panoptic segmentation for autonomous driving
Lidar panoptic segmentation for autonomous driving -
Inria Aerial Image Labeling dataset
Inria Aerial Image Labeling dataset contains aerial orthorectified color imagery of 5000 × 5000 pixels with a spatial resolution of 0.3 m. -
AICrowd Mapping Challenge dataset
AICrowd Mapping Challenge dataset contains 300 × 300 pixels RGB images and corresponding annotations in MS-COCO format. -
Fruits-360 dataset
A new and complex database of images with fruits. Also, some numerical experiments by using TensorFlow library in order to classify the images according to their content. -
Amazon Picking Challenge 2016 Dataset
The dataset used in the Amazon Picking Challenge 2016, a vision-based robotic picking system developed by Team Applied Robotics. -
Specs on Faces (SoF) dataset
The Specs on Faces (SoF) dataset is a challenging dataset for face detection, recognition, and classification. -
Face Recognition Technology (FERET) dataset
The Face Recognition Technology (FERET) dataset consists of 14,126 images for 1199 different persons. -
ShanghaiTech PartA and PartB
ShanghaiTech PartA and PartB datasets for crowd counting and localization. -
CIFAR-10, CIFAR-100, Tiny ImageNet, ImageNet
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, Tiny ImageNet, and ImageNet datasets. -
Symmetry-awareDepthEstimationusingDeepNeuralNetworks
The dataset for Symmetry-awareDepthEstimationusingDeepNeuralNetworks, containing product images with reflection symmetry. -
StateFarm’s Distracted Driver Detection Dataset
A dataset for driver behavior recognition, includes images of drivers with different behaviors. -
Southeast University Distracted Driver Dataset
A dataset for driving posture recognition, includes images of drivers with different postures.
