ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.13534
  4. Cited By
PAFNet: An Efficient Anchor-Free Object Detector Guidance

PAFNet: An Efficient Anchor-Free Object Detector Guidance

28 April 2021
Ying Xin
Guanzhong Wang
Mingyuan Mao
Yuan Feng
Qingqing Dang
Yanjun Ma
Errui Ding
Shumin Han
    ObjD
ArXivPDFHTML

Papers citing "PAFNet: An Efficient Anchor-Free Object Detector Guidance"

4 / 4 papers shown
Title
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors
Quoc Khanh Nguyen
Hung Truong Thanh Nguyen
Truong Thanh Hung Nguyen
Van Binh Truong
Quoc Hung Cao
24
4
0
06 Jun 2023
Extending One-Stage Detection with Open-World Proposals
Extending One-Stage Detection with Open-World Proposals
Sachin Konan
Kevin J Liang
Li Yin
ObjD
26
10
0
07 Jan 2022
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
570
0
27 May 2021
PP-YOLO: An Effective and Efficient Implementation of Object Detector
PP-YOLO: An Effective and Efficient Implementation of Object Detector
Xiang Long
Kaipeng Deng
Guanzhong Wang
Yan Zhang
Qingqing Dang
...
Hui Shen
Jianguo Ren
Shumin Han
Errui Ding
Shilei Wen
ObjD
48
275
0
23 Jul 2020
1