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. 2011.10772
  4. Cited By
One Metric to Measure them All: Localisation Recall Precision (LRP) for
  Evaluating Visual Detection Tasks

One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks

21 November 2020
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ArXivPDFHTML

Papers citing "One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks"

5 / 5 papers shown
Title
Towards Building Self-Aware Object Detectors via Reliable Uncertainty
  Quantification and Calibration
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
Kemal Oksuz
Thomas Joy
P. Dokania
UQCV
13
16
0
03 Jul 2023
Privacy-Preserving Person Detection Using Low-Resolution Infrared
  Cameras
Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras
Thomas Dubail
Fidel Alejandro Guerrero Peña
H. R. Medeiros
Masih Aminbeidokhti
Eric Granger
M. Pedersoli
27
6
0
22 Sep 2022
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation
Kemal Oksuz
Baris Can Cam
Fehmi Kahraman
Z. S. Baltaci
Sinan Kalkan
Emre Akbas
21
8
0
19 Oct 2021
Rank & Sort Loss for Object Detection and Instance Segmentation
Rank & Sort Loss for Object Detection and Instance Segmentation
Kemal Oksuz
Baris Can Cam
Emre Akbas
Sinan Kalkan
14
42
0
24 Jul 2021
HoughNet: Integrating near and long-range evidence for visual detection
HoughNet: Integrating near and long-range evidence for visual detection
Nermin Samet
Samet Hicsonmez
Emre Akbas
ObjD
13
10
0
14 Apr 2021
1