HyperAIHyperAI

Command Palette

Search for a command to run...

CDFSOD-benchmark Cross-domain Small Sample Object Detection Benchmark Dataset

Date

a year ago

Size

18.87 GB

Organization

Beijing University of Aeronautics and Astronautics

Publish URL

github.com

Paper URL

arxiv.org

* This dataset supports online use.Click here to jump.

CDFSOD-benchmark is a research project focusing on cross-domain few-shot object detection (CD-FSOD). It was released by the research team of Beijing University of Aeronautics and Astronautics and iFlytek in 2024. The related paper results are "Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector", has been accepted by ECCV24. This project aims to solve the problem of small-sample object detection when there is a significant domain difference between the source domain and the target domain. It includes a dataset for algorithm evaluation, as well as style, inter-class variance (ICV), and indefinable boundaries (IB) for measuring domain differences.

CDFSOD-benchmark.torrent
Seeding 2Downloading 0Completed 217Total Downloads 285
  • CDFSOD-benchmark/
    • README.md
      1.46 KB
    • README.txt
      2.92 KB
      • data/
        • CDFSOD.zip
          18.87 GB

Build AI with AI

From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.

AI Co-coding
Ready-to-use GPUs
Best Pricing
Get Started

Hyper Newsletters

Subscribe to our latest updates
We will deliver the latest updates of the week to your inbox at nine o'clock every Monday morning
Powered by MailChimp