repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 8d ago
NVIDIA-ISAAC-ROS/isaac_ros_object_detection
NVIDIA-accelerated, deep learned model support for image space object detection
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- PossiblePossibly related (embedding) · 49%From Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific Discoveries →
- PossiblePossibly related (embedding) · 49%Into the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-Tuning →
- PossiblePossibly related (embedding) · 48%Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models →
- PossiblePossibly related (embedding) · 46%AnyGroundBench: A Specialized-Domain Benchmark for Video Grounding in Vision-Language Models →
- PossiblePossibly related (embedding) · 45%NVIDIA AI Introduces ASPIRE: A Self-Improving Robotics Framework Reaching 31% Zero-Shot on LIBERO-Pro Long Tasks - MarkTechPost →
- PossiblePossibly related (embedding) · 47%Hydra++: Real-Time Hierarchical 3D Scene Graph Construction With Object-Level Shape Estimation →
- PossiblePossibly related (embedding) · 48%Promptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote Sensing →
- PossiblePossibly related (embedding) · 50%GFR-SAM: Training-Free Referring Camouflaged Object Segmentation via Cross-Image Prompting →
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newsFrom Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific DiscoveriesnewsInto the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-TuningnewsNVIDIA AI Introduces ASPIRE: A Self-Improving Robotics Framework Reaching 31% Zero-Shot on LIBERO-Pro Long Tasks - MarkTechPost
Implements
Implements (incoming)
paperHydra++: Real-Time Hierarchical 3D Scene Graph Construction With Object-Level Shape EstimationpaperPromptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote SensingpaperGFR-SAM: Training-Free Referring Camouflaged Object Segmentation via Cross-Image PromptingpaperVendorBench-100: A Unified Cross-Paradigm Benchmark for Deepfake Image DetectionpaperGeneralized Synthetic Image Detection with Enhanced RGB-Noise Representation LearningpaperVocaDet: Sample-Driven Open-Vocabulary Object Detection and Segmentation via Visual Tokenization and Vector Database Retrieval
Related to (incoming)
Related across the graph
newsFrom Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific DiscoveriesnewsInto the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-TuningpaperVendorBench-100: A Unified Cross-Paradigm Benchmark for Deepfake Image DetectionpaperPromptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote SensingpaperZero-Shot Quantization for Object Detectors using Off-the-Shelf Generative ModelspaperVocaDet: Sample-Driven Open-Vocabulary Object Detection and Segmentation via Visual Tokenization and Vector Database RetrievalnewsNVIDIA AI Introduces ASPIRE: A Self-Improving Robotics Framework Reaching 31% Zero-Shot on LIBERO-Pro Long Tasks - MarkTechPostpaperHydra++: Real-Time Hierarchical 3D Scene Graph Construction With Object-Level Shape Estimationmodelnvidia/LocateAnything-3BpaperGFR-SAM: Training-Free Referring Camouflaged Object Segmentation via Cross-Image PromptingpaperGeneralized Synthetic Image Detection with Enhanced RGB-Noise Representation LearningpaperAnyGroundBench: A Specialized-Domain Benchmark for Video Grounding in Vision-Language Models