Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey

14 March 2022

Papers citing "Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey"

10 / 10 papers shown

Title
AquaticCLIP: A Vision-Language Foundation Model for Underwater Scene Analysis B. Alawode I. I. Ganapathi S. Javed Naoufel Werghi Mohammed Bennamoun Arif Mahmood CLIP VLM 78 1 0 03 Feb 2025
Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data Sergei Voronin Abubakar Siddique Muhammad Iqbal 69 0 0 23 Nov 2024
MV-Adapter: Enhancing Underwater Instance Segmentation via Adaptive Channel Attention Lianjun Liu 34 0 0 01 Nov 2024
Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement B. Alawode Fayaz Ali Dharejo Mehnaz Ummar Yuhang Guo Arif Mahmood Naoufel Werghi F. Khan Jirí Matas S. Javed 36 8 0 30 Aug 2023
Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization Alzayat Saleh Md. Mehedi Hasan H. Raadsma M. Khatkar D. Jerry M. R. Azghadi 13 7 0 15 Jul 2023
A lightweight Transformer-based model for fish landmark detection Alzayat Saleh David Jones D. Jerry M. R. Azghadi 18 1 0 13 Sep 2022
Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey Alzayat Saleh M. Sheaves D. Jerry M. R. Azghadi 30 41 0 11 Jun 2022
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images Penny Tarling M. Cantor Albert Clapés Sergio Escalera 63 35 0 30 Apr 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
An Image Based Technique for Enhancement of Underwater Images C. J. Prabhakar P. U. P. Kumar DiffM 60 74 0 03 Dec 2012