Papers Fish Detection
“Fish Detection” 태그가 달린 논문 11편 · 필터 해제
FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU Matching
Fish tracking plays a vital role in understanding fish behavior and ecology. However, existing tracking methods face challenges in accuracy and robustness dues to morphological change of fish, occlusion and complex envir…
Fish DetectionMulti-Object TrackingMultiple Object TrackingObject+3FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Trait Prediction
Aquatic species are essential components of the world's ecosystem, and the preservation of aquatic biodiversity is crucial for maintaining proper ecosystem functioning. Unfortunately, increasing anthropogenic pressur…
Fish DetectionUtility-Oriented Underwater Image Quality Assessment Based on Transfer Learning
The widespread image applications have greatly promoted the vision-based tasks, in which the Image Quality Assessment (IQA) technique has become an increasingly significant issue. For user enjoyment in multimedia systems…
Fish DetectionImage Quality AssessmentObjectObject Recognition+1Fake Hilsa Fish Detection Using Machine Vision
Hilsa is the national fish of Bangladesh. Bangladesh is earning a lot of foreign currency by exporting this fish. Unfortunately, in recent days, some unscrupulous businessmen are selling fake Hilsa fishes to gain profit.…
Fish DetectionA deep neural network for multi-species fish detection using multiple acoustic cameras
Underwater acoustic cameras are high potential devices for many applications in ecology, notably for fisheries management and monitoring. However how to extract such data into high value information without a time-consum…
Fish DetectionManagementThe Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries
Camera-based electronic monitoring (EM) systems are increasingly being deployed onboard commercial fishing vessels to collect essential data for fisheries management and regulation. These systems generate large quantitie…
Fish DetectionManagementTemperate Fish Detection and Classification: a Deep Learning based Approach
A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize sp…
ClassificationDeep LearningFish DetectionGeneral Classification+4Fish Detection Using Deep Learning
Recently, human being’s curiosity has been expanded from the land to the sky and the sea. Besides sending people to explore the ocean and outer space, robots are designed for some tasks dangerous for living creatures. Ta…
Data AugmentationDeep LearningFish DetectionUnderwater Fish Detection with Weak Multi-Domain Supervision
Given a sufficiently large training dataset, it is relatively easy to train a modern convolution neural network (CNN) as a required image classifier. However, for the task of fish classification and/or fish detection, if…
Fish DetectionGeneral ClassificationUnderwater Fish Detection using Deep Learning for Water Power Applications
Clean energy from oceans and rivers is becoming a reality with the development of new technologies like tidal and instream turbines that generate electricity from naturally flowing water. These new technologies are being…
Deep LearningFish DetectionAssessing fish abundance from underwater video using deep neural networks
Uses of underwater videos to assess diversity and abundance of fish are being rapidly adopted by marine biologists. Manual processing of videos for quantification by human analysts is time and labour intensive. Automatic…
DiversityFish Detectionobject-detectionObject Detection+1