SOTAVerified

Dataset Generation

The task involves enhancing the training of target application (e.g. autonomous driving systems) by generating datasets of diverse and critical elements (e.g. traffic scenarios). Traditional methods rely on expensive and limited datasets, which often fail to capture rare but essential situations that can pose risks during testing.

Papers

Showing 6170 of 308 papers

TitleStatusHype
SynPick: A Dataset for Dynamic Bin Picking Scene UnderstandingCode1
SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generationCode1
Improving Paraphrase Detection with the Adversarial Paraphrasing TaskCode1
Perceptual Loss for Robust Unsupervised Homography EstimationCode1
Monocular Multi-Layer Layout Estimation for Warehouse RacksCode1
MK-SQuIT: Synthesizing Questions using Iterative Template-fillingCode1
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D EnvironmentCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
Image Generation for Efficient Neural Network Training in Autonomous Drone RacingCode1
ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline SolutionsCode1
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