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CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
Lung nodule malignancy prediction has been enhanced by advanced deep-learning techniques and effective tricks. Nevertheless, current methods are mainly trained with... -
Learning a Representation Map for Robot Navigation using Deep Variational Aut...
The dataset used in this paper is a video of a house tour, which is used to train a Variational Autoencoder (VAE) to learn a representation map for robot navigation. -
WaymoOpenDataset
Scalability in perception for autonomous driving: Waymo open dataset. -
SemanticInstanceAnnotation
Semantic instance annotation of street scenes by 3D to 2D label transfer. -
Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained ...
The dataset used in the paper for novel-view synthesis from unconstrained image collections. -
D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Ma...
D3Fields — dynamic 3D descriptor fields for zero-shot generalizable robotic manipulation tasks -
Progressive Recurrent Network for Shadow Removal
Single-image shadow removal is a significant task that is still unresolved. Most existing deep learning-based approaches attempt to remove the shadow directly, which can not... -
First-person hand benchmark (FHB)
The FHB dataset contains egocentric RGB-D videos on a wide range of hand-object interactions. -
Open Images Dataset
The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images... -
iNaturalist dataset
The iNaturalist dataset is a crowdsourced compendium of living organisms, with fine- and coarse-grained species distinctions, a heavy-tailed class size distribution, and... -
ResNet and WRN datasets
ResNet and WRN datasets used for image classification tasks -
VAW dataset
VAW dataset (Pham et al., 2021) is a large-scale visual attributes dataset with bounding box labels for the attribution annotation. -
CIFAR-100 and ImageNet-1k
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CIFAR-100 and ImageNet-1k datasets for image classification and semantic... -
Arbitrary Style Transfer with Structure Enhancement by Combining the Global a...
Arbitrary style transfer generates an artistic image which combines the structure of a content image and the artistic style of the artwork by using only one trained network. -
BraTS 2020: self-ensembled, deeply-supervised 3D U-Net CNNs
Brain tumor segmentation is a critical task for patient’s disease management. In order to automate and standardize this task, we trained multiple U-net like neural networks,...
