arXiv (OAI Expanded)
open access
ViCo-SAM3: Vision-Conditioned Alignment for Open-Vocabulary Camouflaged Object Segmentation
Open-vocabulary camouflaged object segmentation (OVCOS) aims to segment unseen camouflaged objects under text guidance. We observe that SAM3 still suffers from a pronounced semantic gap between global textual semantics and fine-grained pixel-level visual cues in OVCOS. Meanwhile, fully fine-tuning t
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
- Open-vocabulary 3D object detection with promptable segmentation#1013955
- Vision Harnessing Agent for Open Ad-hoc Segmentation#1130557
- 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
- Search-based Testing of Vision Language Models for In-Car Scene Understanding#332586
Record · ID 1109433
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