PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training
PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training explores A universal object detector that unifies visual and text prompts for improved open-set detection and reduced development cycles.. Commercial viability score: 7/10 in Open-Set Object Detection.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisSDDF: Specificity-Driven Dynamic Focusing for Open-Vocabulary Camouflaged Object DetectionViability: 5.0
- Builds On ThisA Mixed Diet Makes DINO An Omnivorous Vision EncoderViability: 5.0
- Prior WorkVirPro: Visual-referred Probabilistic Prompt Learning for Weakly-Supervised Monocular 3D DetectionViability: 7.0
- Prior WorkDinoDental: Benchmarking DINOv3 as a Unified Vision Encoder for Dental Image AnalysisViability: 7.0
- Prior WorkFinding Distributed Object-Centric Properties in Self-Supervised Transformers