1,082 datasets found

Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation

A task-agnostic play dataset of robot hand trajectories Dplay is collected per robot platform, allowing its reuse across multiple tasks.

Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a face recognition system by presenting spoofed faces. State-of-the-art FAS techniques predominantly rely on...

CLIPSwarm: Generating Drone Shows from Text Prompts with Vision-Language Models

The dataset used in the paper is MegaDepth and NYU datasets for training and testing the proposed method.

The RSNA 2019 Brain CT Hemorrhage Challenge dataset is a dataset of CT scans of the brain used for hemorrhage detection and classification.

Vision transformers (ViTs) have achieved promising results on a variety of Computer Vision tasks, however their quadratic complexity in the number of input tokens has limited...

The Synthia 4D dataset is a synthetic dataset for 4D semantic segmentation.

The paper proposes a decomposition of the convolutional filters over joint steerable bases across the space and the group geometry simultaneously, namely a rotation-equivariant...

The proposed model for unified image and video saliency analysis.

The proposed approach is evaluated on three different datasets: MNIST, fashionMNIST, and CIFAR10.

Egocentric video dataset for object detection and segmentation

The dataset used in the paper is the Kaolin-Wisp dataset, which is a benchmark for neural fields research.

The Middlebury 2014 dataset is a benchmark for stereo matching, consisting of 33 pairs of stereo images with sparse depth ground truth.

The VIMER-UFO benchmark dataset consists of 8 computer vision tasks: CPLFW, Market1501, DukeMTMC, MSMT-17, Veri-776, VehicleId, VeriWild, and SOP.

The CAD dataset is a photorealistic 3D generation dataset conditioned on a single image and a text prompt.

MuPoTS-3D is a representative dataset for monocular 3DMPPE, composed of 20 few-second-long sequences with 2–3 people interacting with each other.

The proposed framework for detecting social distancing from video footage

A synthetic fisheye dataset based on the ImageNet-1K, constructed to explore the performance of Transformer models on fisheye images.

Scattering networks are a class of designed Convolutional Neural Networks (CNNs) with fixed weights. We argue they can serve as generic representations for modeling images.