Showing 1–16 of 16 results
/ Date/ Name
Sep 5, 2018BOLD5000: A public fMRI dataset of 5000 imagesSep 20, 2024SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data AssimilationJun 24, 2023Thinking Like an Annotator: Generation of Dataset Labeling InstructionsApr 12, 2021Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed DetectionAug 17, 2020AlphaNet: Improving Long-Tail Classification By Combining ClassifiersJun 7, 2025Generalized Trajectory Scoring for End-to-end Multimodal PlanningJun 3, 2025PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language ModelsSep 3, 2025Mitigating Multimodal Hallucinations via Gradient-based Self-ReflectionApr 9, 2026Scaling-Aware Data Selection for End-to-End Autonomous Driving SystemsApr 6, 2025OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual ReasoningJun 24, 2025AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection TrainingOct 28, 2025ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory ScoringMar 5, 2025Enhancing Autonomous Driving Safety with Collision Scenario IntegrationOct 15, 2025DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language ModelsMay 2, 2024OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual ReasoningJan 20, 2025Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models