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S3DIS and ShapeNetPart
The dataset used for indoor scene segmentation and object part segmentation. -
STL-10 dataset
The dataset used in this paper is a collection of images from the STL-10 dataset, preprocessed and used for training and evaluation of the proposed diffusion spectral entropy... -
Omni-Line-of-Sight Imaging for Holistic Shape Reconstruction
We introduce Omni-LOS, a neural computational imaging method for conducting holistic shape reconstruction (HSR) of complex objects utilizing a Single-Photon Avalanche Diode... -
Graph-Regularized Attentive Convolutional Entanglement for Robust DeepFake Vi...
The proposed GRACE method leverages feature entanglement with sparse constraints and a graph convolutional network with graph Laplacian smoothing prior regularization to... -
Real-World Depth of Field Dataset
The dataset consists of real captured scenes with varying exposures, apertures, and focus distances. -
Cinematic Gaussians: Real-Time HDR Radiance Fields with Depth of Field
The dataset consists of four synthetic rendered scenes and four real captured scenes. The synthetic scenes provide control and ground truth for evaluation, while the real... -
Thumbnail Generation Dataset
Thumbnail generation dataset used in the paper for training and testing the proposed model. -
ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections
The proposed network architecture uses a threshold mechanism to further optimize the connection method, reducing connections between layers to accelerate inference time. -
Semantic Equitable Clustering: A Simple, Fast and Effective Strategy for Visi...
The Vision Transformer (ViT) has gained prominence for its superior relational modeling prowess. However, its global attention mechanism’s quadratic complexity poses substantial... -
Mobile AI Workshop 2021
A dataset for mobile AI workshop 2021. -
A Weakly-Supervised Depth Estimation Network Using Attention Mechanism
A weakly-supervised depth estimation network using attention mechanism for cases with wrong labels. -
ModelNet40-C
The dataset used in the paper is ModelNet40-C, which is a 3D point cloud dataset with various corruptions. -
ModelNet40 and ModelNet40-C
The dataset used in the paper is ModelNet40 and ModelNet40-C, which are 3D point cloud datasets. -
Mvtec LOCO AD
A recently introduced dataset designed for detecting logical anomalies -
Dual-Attention Transformer and Discriminative Flow for Visual Anomaly Detection
The proposed DADF framework for visual anomaly detection -
MisConv: Convolutional Neural Networks for Missing Data
Processing of missing data by modern neural networks, such as CNNs, remains a fundamental, yet unsolved challenge, which naturally arises in many practical applications, like... -
AutoShuffleNet: Learning Permutation Matrices
The dataset used in this paper is CIFAR-10 and ImageNet datasets. -
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
Real-time 3D scene reconstruction from monocular video
