On the public citation graph

Cultured Fish Length Estimation Based on Keypoint and Binocular Stereo Vision

https://doi.org/10.2139/ssrn.4795485
0 signed · 23 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-48354-2_2openalex-extracted
The Measurement of Fish Size by Machine Vision - A Review
inferredcites →https://doi.org/10.1007/s11277-019-06634-1openalex-extracted
Automatic Fish Species Classification Using Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1016/j.aquaeng.2006.02.003openalex-extracted
Extracting fish size using dual underwater cameras
inferredcites →https://doi.org/10.1016/j.aquaeng.2017.01.003openalex-extracted
A prototype to measure rainbow trout's length using image processing
inferredcites →https://doi.org/10.1016/j.aquaeng.2022.102227openalex-extracted
Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera
inferredcites →https://doi.org/10.1016/j.cag.2023.09.008openalex-extracted
Human pose estimation and action recognition for fitness movements
inferredcites →https://doi.org/10.1016/j.compag.2020.105419openalex-extracted
An automatic method of fish length estimation using underwater stereo system based on LabVIEW
inferredcites →https://doi.org/10.1016/j.marpol.2017.01.006openalex-extracted
Comments on FAOs State of World Fisheries and Aquaculture (SOFIA 2016)
inferredcites →https://doi.org/10.1051/alr/2011133openalex-extracted
A digital stereo-video camera system for three-dimensional monitoring of free-swimming Pacific bluefin tuna,Thunnus orientalis, cultured in a net cage
inferredcites →https://doi.org/10.1088/1742-6596/2595/1/012005openalex-extracted
Optimization of ICANet lightweight human pose estimation based on HRNet
inferredcites →https://doi.org/10.1093/icesjms/fsz186openalex-extracted
Automatic segmentation of fish using deep learning with application to fish size measurement
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00297openalex-extracted
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss
inferredcites →https://doi.org/10.1109/iccitechn.2015.7488094openalex-extracted
A simple approach to count and track underwater fishes from videos
inferredcites →https://doi.org/10.1109/jproc.2023.3238524openalex-extracted
Object Detection in 20 Years: A Survey
inferredcites →https://doi.org/10.1109/oceanse.2017.8084565openalex-extracted
Fish farming autonomous calibration system
inferredcites →https://doi.org/10.1109/tpami.2007.1166openalex-extracted
Stereo Processing by Semiglobal Matching and Mutual Information
inferredcites →https://doi.org/10.1111/2041-210x.13282openalex-extracted
Using machine vision to estimate fish length from images using regional convolutional neural networks
inferredcites →https://doi.org/10.1111/raq.12143openalex-extracted
Application of machine vision systems in aquaculture with emphasis on fish: state‐of‐the‐art and key issues
inferredcites →https://doi.org/10.1111/raq.12388openalex-extracted
Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review
inferredcites →https://doi.org/10.1117/12.2020941openalex-extracted
A review of techniques for the identification and measurement of fish in underwater stereo-video image sequences
inferredcites →https://doi.org/10.1677/joe.0.1200135openalex-extracted
Stress alters immune function and disease resistance in chinook salmon (Oncorhynchus tshawytscha)
inferredcites →https://doi.org/10.3390/ani10020364openalex-extracted
Automatic Fish Population Counting by Machine Vision and a Hybrid Deep Neural Network Model
inferredcites →https://doi.org/10.3390/info11100476openalex-extracted
Underwater Fish Body Length Estimation Based on Binocular Image Processing
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.