Zero-shot World Models Are Developmentally Efficient Learners
Paper • 2604.10333 • Published • 7
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Sparse Reward Subsystem in Large Language Models
Intelligence per Watt: Measuring Intelligence Efficiency of Local AI
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Kameshr
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francisengelmann
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AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
Paper • 2306.00977 • Published
OpenMask3D: Open-Vocabulary 3D Instance Segmentation
Paper • 2306.13631 • Published • 11
OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views
Paper • 2404.03650 • Published
3D Segmentation of Humans in Point Clouds with Synthetic Data
Paper • 2212.00786 • Published
Improving 2D Feature Representations by 3D-Aware Fine-Tuning
Paper • 2407.20229 • Published • 7
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries
Paper • 2211.15658 • Published
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Paper • 2110.02210 • Published • 2
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels
Paper • 2312.17232 • Published
P2P-Bridge: Diffusion Bridges for 3D Point Cloud Denoising
Paper • 2408.16325 • Published • 3
SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs
Paper • 2404.00469 • Published
Mask3D: Mask Transformer for 3D Semantic Instance Segmentation
Paper • 2210.03105 • Published
OpenCity3D: What do Vision-Language Models know about Urban Environments?
Paper • 2503.16776 • Published • 3
SuperDec: 3D Scene Decomposition with Superquadric Primitives
Paper • 2504.00992 • Published
Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces
Paper • 2503.19199 • Published • 1
Kameshr
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dataset about 1 year ago
Kameshr
published a
dataset about 1 year ago
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🚀AraClip is now fully integrated with Hugging Face 🤗
AraClip is a specialized CLIP model that was created by @pain and optimized for Arabic text-image retrieval tasks🔥
🔗 Try it out 🔗
🤖 model: Arabic-Clip/araclip
🧩 Gradio demo: Arabic-Clip/Araclip-Simplified
🌐 website: https://arabic-clip.github.io/Arabic-CLIP/
AraClip is a specialized CLIP model that was created by @pain and optimized for Arabic text-image retrieval tasks🔥
🔗 Try it out 🔗
🤖 model: Arabic-Clip/araclip
🧩 Gradio demo: Arabic-Clip/Araclip-Simplified
🌐 website: https://arabic-clip.github.io/Arabic-CLIP/
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