arXiv (All)
open access
VesselBench-800K: A Large-scale Perception Benchmark for Multimodal Vessel Detection, Counting, and Density Estimation
Vessel perception from space is crucial for a wide range of maritime applications, from traffic monitoring to environmental protection. However, most existing datasets predominantly focus on general object detection tasks in optical remote sensing (RS) images. Relying solely on single-modality optic
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- From Words to Wavelengths: VLMs for Few-Shot Multispectral Object Detection#1084097
- Multi-Modal Remote Sensing Segmentation of Geomorphological Objects with Deep Learning and Self-Supervision#250459
- Understanding Temporal Semantic Stability in Open-Vocabulary UAV Perception through Metric 3D Fusion#792915
- Understanding Temporal Semantic Stability in Open-Vocabulary UAV Perception through Metric 3D Fusion#788911
- Post Fusion Bird's Eye View Feature Stabilization for Robust Multimodal 3D Detection#927248
Record · ID 1132204
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive