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 111120 of 308 papers

TitleStatusHype
Dataset Generation and Bonobo Classification from Weakly Labelled VideosCode0
Automating 3D Dataset Generation with Neural Radiance FieldsCode0
A Dataset Generation Toolbox for Dynamic Security Assessment: On the Role of the Security BoundaryCode0
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNsCode0
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic SegmentationCode0
LeagueAI: Improving object detector performance and flexibility through automatically generated training data and domain randomizationCode0
Fire Dynamic Vision: Image Segmentation and Tracking for Multi-Scale Fire and Plume BehaviorCode0
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling AutonomyCode0
Geometric Generality of Transformer-Based Gröbner Basis ComputationCode0
Show:102550
← PrevPage 12 of 31Next →

No leaderboard results yet.