¡Hola, Mundo!

  • 홈
  • 태그
  • 방명록

Soft NMS 1

(prerequisite-R-CNN) Non-maximum Suppression(NMS)

Non-maximum Suppression (NMS) A technique that’s used after the region proposal step to eliminate duplicate bounding boxes and select the most relevant ones. The idea behind NMS is straightforward. It works by comparing the confidence scores of the proposed bounding boxes and eliminating the ones that overlap significantly with a higher-scoring bounding box. https://www.jeremyjordan.me/object-de..

Deep Learning/Object Detection 2024.01.23
이전
1
다음
더보기
  • 분류 전체보기 (352)
    • Autonomous Vehicle (55)
      • Theory (14)
      • Sensors (11)
      • Video Geometry (24)
    • Deep Learning (20)
      • PyTorch (10)
      • Tensorflow (8)
      • CNN (7)
      • Object Detection (16)
    • Machine Learning (18)
    • Reinforcement Learning (4)
    • Analyze Data (29)
      • Python (2)
      • Python Libraries (20)
      • Measure of similarity (7)
    • KAFKA (6)
    • d3.js (20)
    • Environment (9)
      • Anaconda (4)
      • VisualStudioCode (3)
      • Jupyter (2)
    • JavaScript (10)
    • C# (6)
    • Linux (15)
      • terminal (9)
      • Nvidia (3)
    • Docker (17)
    • Git (7)
    • Concept (8)
      • Network (3)
    • Elastic Stack (6)
      • Elasticsearch (5)
      • Logstash (1)
    • Basic Python (49)
      • FastAPI (3)
      • Data Structure (1)
      • Workbook (5)
    • DataBase (11)
      • MYSQL (6)
      • MariaDB (1)
    • Math (20)
    • About me (1)

Tag

Step Function, kafka, textdistance, randn, yield from, Sigmoid function, Filter, forward propagation, 3D Rotation Matrix, abstractmethod, nvidia-smi, zeros, docker-compose, classmethod, global variable, batch size, selectall, d3js, axis, Regular Expression,

최근글과 인기글

  • 최근글
  • 인기글

최근댓글

공지사항

페이스북 트위터 플러그인

  • Facebook
  • Twitter

Archives

Calendar

«   2025/12   »
일 월 화 수 목 금 토
1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31

Copyright © Kakao Corp. All rights reserved.

티스토리툴바