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. 2005.03232
  4. Cited By
Multi-Target Deep Learning for Algal Detection and Classification

Multi-Target Deep Learning for Algal Detection and Classification

7 May 2020
Peisheng Qian
Ziyuan Zhao
Haobing Liu
Yingcai Wang
Yu Peng
Sheng Hu
Jing Zhang
Yue Deng
Zeng Zeng
ArXivPDFHTML

Papers citing "Multi-Target Deep Learning for Algal Detection and Classification"

4 / 4 papers shown
Title
Too Fine or Too Coarse? The Goldilocks Composition of Data Complexity
  for Robust Left-Right Eye-Tracking Classifiers
Too Fine or Too Coarse? The Goldilocks Composition of Data Complexity for Robust Left-Right Eye-Tracking Classifiers
Brian Xiang
Abdelrahman Abdelmonsef
14
1
0
24 Aug 2022
Vector-Based Data Improves Left-Right Eye-Tracking Classifier
  Performance After a Covariate Distributional Shift
Vector-Based Data Improves Left-Right Eye-Tracking Classifier Performance After a Covariate Distributional Shift
Brian Xiang
Abdelrahman Abdelmonsef
OOD
20
4
0
31 Jul 2022
Adaptive Mean-Residue Loss for Robust Facial Age Estimation
Adaptive Mean-Residue Loss for Robust Facial Age Estimation
Ziyuan Zhao
Peisheng Qian
Yubo Hou
Zeng Zeng
CVBM
27
7
0
31 Mar 2022
A State-of-the-art Survey of Object Detection Techniques in
  Microorganism Image Analysis: From Classical Methods to Deep Learning
  Approaches
A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches
Pingli Ma
Chen Li
M. Rahaman
Yudong Yao
Jiawei Zhang
Shuojia Zou
Xin Zhao
M. Grzegorzek
24
62
0
07 May 2021
1