AINewsnow

Strip Convolution and Direction-Aware Exclusion Loss for Oriented Ship Detection

arXiv:2609.27238v1 Announce Type: new Abstract: Oriented ship detection in very high resolution (VHR) remote sensing imagery remains challenging due to elongated hull geometry and dense target distributions in complex port scenes. Existing methods typically address geometric representation and dupl…

Read the full story at arXiv cs.CV ↗

Timeline · 1 report

  1. 2026-09-24 04:00 · arXiv cs.CV
    Strip Convolution and Direction-Aware Exclusion Loss for Oriented Ship Detection

More stories

  1. GPT-6 Sol and Luna now available on AI Gateway — Vercel Blog
  2. Bringing Private Processing to Meta AI Glasses — Engineering at Meta
  3. Sam Altman’s remarks at the United Nations Security Council — OpenAI News
  4. Gemini 3.8 text-to-speech models now available on AI Gateway — Vercel Blog
  5. Alibaba unveils new AI chip to challenge NVIDIA, plans Qwen models with up to 10 trillion parameters — Mint AI
  6. OpenAI Agent Hacked Australian Government Website — Wall Street Journal Technology
  7. AI Exchange — Financial Times AI
  8. How Benchling secured multi-tenant AI agents with Amazon Bedrock AgentCore — AWS Machine Learning Blog

Get the daily brief of stories like this at 6:30 every morning →