A research solution for compressing underwater object detection models while maintaining high accuracy, using a teacher-student knowledge distillation approach with YOLOv8 architectures

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Ultralytics YOLO 🚀

[ICML 2024] Official repository of the paper: "Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset"

This repo is the official implementation of "WaterMask: Instance Segmentation for Underwater Imagery", and has been accepted by ICCV2023! 🎉🎉🎉

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

A deep reinforcement learning implementation using Deep Q-Network (DQN) to train an agent to successfully land a lunar module in OpenAI Gymnasium's LunarLander-v3 environment.

Develop and train a recurrent Neural Network model and a Transformer model to perform Named Entity Recognition which involves identifying and classifying named entities in text into predefined cate…