Computer Science and Programming

🚀 PIPNet: One-Click Facial Landmark Detection 🎯 🔗 GitHub: Star ⭐ the Repo | 🎥 Watch Dem 🔥 Key Features: ✅ One-Click Inference – Just run & detect! ✅ High Accuracy (300W dataset) 📊 ✅ ResNet-powered for robustness ✅ Supports training, testing & real-time demo 🎥 📌 Run Inference in One Click: python main.py --demo 📊 Performance: 🔹 ResNet101 (120 epochs) → 3.17 NME 🌟 Support Open Source! Star ⭐ & Share! 🔗 GitHub Repo #AI #DeepLearning #FacialRecognition #PIPNet #OneClickInference 🚀

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🚀 The Future of Object Detection is Here! 🔍Achieve state-of-the-art results with just one line of code! 🔥 🎥 Live Demos & Code: GitHub Repo 📥 Pretrained Models: Ready for download—plug and play! ⭐️ Support innovation! Star the repo now 👉 GitHub Link 📢 Join our ML community: @MachineLearning_Programming #MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation

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🧤 HaWoR: World-Space Ego 3D Hands 🧤 Introducing HaWoR: a state-of-the-art approach for 3D hand motion estimation in egocentric videos, developed by Imperial College (H/T Rolandos Alexandros Potamias). Achieving new SOTA in camera pose estimation and hand motion reconstruction, with code available under Attribution-NC-ND 4.0. 💙 Key Highlights: ✅ World-space 3D hand motion estimation ✅ Novel infiller net for hand motion reconstruction ✅ Reliable even with missing frames/occlusions ✅ Robust single-shot camera trajectory estimation 📄 Paper: arxiv.org/pdf/2501.02973 🌐 Project Page: Explore here 💻 Code: Access here 👉 Stay updated on AI/ML innovations! @MachineLearning_Programming

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OminiControl: Minimal and Universal Control for Diffusion Transformer 🔗 Discover More: * Source Code: GitHub * Try Demo: Try it here * Paper Page: Read Paper ✅ @MachineLearning_Programming

DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding 🔗 Discover More: * Source Code: GitHub * Project Page: DINO-X * Paper Page: DINO-X paper ✅ @MachineLearning_Programming