New Method Preserves Novel Category Capacity in Open-Vocabulary Object Detection
A new arXiv paper introduces a partition, refine, and detect approach for open-vocabulary object detection, aiming to preserve the model's ability to recognize novel categories while trained on base classes.
Read the full story at arXiv cs.CV ↗
Timeline · 1 report
- 2026-11-11 05:00 · arXiv cs.CV
Partition, Refine, and Detect: Preserving Novel Category Capacity in Open-Vocabulary Object Detection
More stories
- Nvidia CEO Jensen Huang faces spy scandal over alleged relationship with Chinese asset Alice Huang — New York Times AI
- Anthropic targets $1.4 trillion valuation in IPO, trading expected to begin Nov. 19 — CNBC Technology
- Google launches Gemini 4 Carbon across Copilot, API, and Ultra tiers — Google DeepMind Blog
- Cognizant Launches Claude Managed Services With 25,000-Strong Frontier Capability Group — Economic Times Tech
- OpenAI launches Businesses in ChatGPT in beta with claimable profiles and agents — OpenAI News
- TSMC to invest up to $1 billion in Anthropic and OpenAI — Economic Times Tech
- STATERA Library Adds Chapters 11-18 on Omni and Steer Drive Robotics — DEV Community — AI
- Anthropic expands Claude into a workspace with Sheets, Whiteboards, and Meetings — Anthropic (X)
Get the daily brief of stories like this at 6:30 every morning →