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Dataset Generation
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Communicating Smartly in the Molecular Domain: Neural Networks in the Internet of Bio-Nano Things
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation
Enhancing Clinical Models with Pseudo Data for De-identification
A large-scale, physically-based synthetic dataset for satellite pose estimation
Real-Time Per-Garment Virtual Try-On with Temporal Consistency for Loose-Fitting Garments
Code Execution as Grounded Supervision for LLM Reasoning
Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval
Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer
Synthetic Dataset Generation for Autonomous Mobile Robots Using 3D Gaussian Splatting for Vision Training
MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning
CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking
TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison
Track Anything Annotate: Video annotation and dataset generation of computer vision models
F-ANcGAN: An Attention-Enhanced Cycle Consistent Generative Adversarial Architecture for Synthetic Image Generation of Nanoparticles
Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets
seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic Segmentation
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks
FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for Ü-Tsang, Amdo and Kham Speech Dataset Generation
Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset
Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents
Contextual Paralinguistic Data Creation for Multi-Modal Speech-LLM: Data Condensation and Spoken QA Generation
Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation
LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping
Guidance for Intra-cardiac Echocardiography Manipulation to Maintain Continuous Therapy Device Tip Visibility
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Map
Estimating Commonsense Scene Composition on Belief Scene Graphs
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments
TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models
V$^2$R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations
MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World
Unreal Robotics Lab: A High-Fidelity Robotics Simulator with Advanced Physics and Rendering
Geometric Generality of Transformer-Based Gröbner Basis Computation
DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.