[ICIP2020] TOWARDS DOMAIN GENERALIZATION IN UNDERWATER OBJECT DETECTION
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Updated
Apr 15, 2022 - Python
[ICIP2020] TOWARDS DOMAIN GENERALIZATION IN UNDERWATER OBJECT DETECTION
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和鲸社区Kesci 2020年全国水下机器人(湛江)大赛水下目标检测算法赛(光学)三等奖方案-单模
An unofficial implementation of Dual Refinement Underwater Object Detection Network
YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data augmentations, real-time inference via Gradio, and support for model export (ONNX & PyTorch).
[TII 2024] An official implementation of ''A Novel Underwater Detection Method for Ambiguous Object Finding via Distraction Mining''
Kaggle "TensorFlow - Help Protect the Great Barrier Reef" - Underwater Video Object Detection with Pytorch
Fine-tuned BERT-based model for classifying underwater objects from textual descriptions into man-made, spherical, or natural categories.
⚓ ML system for submarine threat detection using SVM to classify sonar signals as mines or rocks. Features GridSearchCV optimization, sklearn pipelines, and comprehensive evaluation metrics for underwater anomaly recognition.
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