Artificial Intelligence && Deep Learning

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🚀 Introducing L2CS-Net: Fine-Grained Gaze Estimation 👀✨ 🔗 GitHub Repo: Star ⭐ the Repo 🔥 Key Features: ✅ Fine-grained gaze estimation with deep learning ✅ Supports Gaze360 dataset ✅ Train with Single-GPU / Multi-GPU ✅ Demo for real-time visualization 📌 Quick Start: 🗂️ Prepare dataset 🏋️ Train (python main.py --train) 🎥 Video Infernece (python main.py --demo) 🌟 Support Open Source! Star ⭐ & Share! 🔗 GitHub Repo: L2CSNet #AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource 🚀

Pippo: High-Resolution Multi-View Humans from a Single Image 🔗 Discover More: * Source code: Github * Paper: Read the paper * Jump to Visual: LINK

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🚀 3DGazeNet: Revolutionizing Gaze Estimation with Weak-Supervision! 🌟 Key Features: 🔹 Advanced Neural Network: Built on the robust U2-Net architecture. 🔹 Comprehensive Utilities: Easy data loading, preprocessing, and augmentation. 🔹 Seamless Integration: Train, test, and visualize with simple commands. Demo Visualization:Visualize the demo by configuring your video path in main.py and showcasing the power of 3DGazeNet. Pretrained Weights:Quick start with our pretrained weights stored in the weights folder. 💻Source Code: https://github.com/Shohruh72/3DGazeNet 📖Read the Paper: Access Here #3DGazeNet #GazeEstimation #AI #DeepLearning #TechInnovation Join us in pushing the boundaries of gaze estimation technology with 3DGazeNet!

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🌟  Discover 6DRepNet: The Ultimate Head Pose Estimation Model! Features: * State-of-the-art accuracy * Comprehensive tools for training, testing, and inference * Easy setup with conda * Supports multiple datasets Watch the performance showcase on GitHub for future advancements. [Source Code]  [Paper] join our community: 👉 @deeplearning_ai

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⚽ FIFA World Cup 3D Human Pose Dataset ⚽ Discover WorldPose: a cutting-edge dataset for multi-person global pose estimation, featuring footage from the 2022 FIFA World Cup with 2.5M+ annotations! Key Highlights: ✅ Authors: ETH, FIFA, Microsoft ✅ 150K+ frames, 2.5M+ 3D poses (SMPL format) ✅ Calibrated moving cameras & accurate trajectories 📄 Paper: arxiv.org/pdf/2501.02771 📊 Dataset: Access here 👉 Join our Telegram channel for AI/ML updates! LINK

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Python53

🔥 Shanghai AI Lab Introduces RTMW: Real-Time Multi-Person Whole-Body Pose Estimation 🔥 • Blazing Speed: 940+ FPS on GPU, 50–300+ FPS on CPU • High-Performance Models: Supports 2D/3D whole-body pose estimation • Cutting-Edge Architecture: Built upon RTMPose with FPN & HEM • Wide Dataset Coverage: Manually aligned keypoints across 14 open datasets • Extensive Framework Support: ONNX, TensorRT, ncnn, and OpenVINO • Open Source: Code and pre-trained models available 🔗 Discover More: * Source code: Github * Paper: Read the paper ✅ https://t.me/deeplearning_ai