GitHub - IDEA-Research/GroundingDINO: The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection" - discu.eu

Reddit

Object Detection Road Defects https://github.com/IDEA-Research/GroundingDINO 4 comments 25/4/2023 deeplearning

Linking pages

GitHub - IDEA-Research/Grounded-Segment-Anything: Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything https://github.com/IDEA-Research/Grounded-Segment-Anything 15 comments
GitHub - roboflow/notebooks: Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM. https://github.com/roboflow/notebooks 1 comment
GitHub - microsoft/SoM: Set-of-Mark Prompting for LMMs https://github.com/microsoft/SoM#-set-of-mark-prompting-or-gpt-4v 1 comment
GitHub - SkalskiP/awesome-foundation-and-multimodal-models: 👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials] https://github.com/SkalskiP/awesome-foundation-and-multimodal-models 1 comment
No Train, no Pain? (the limits of one-shot) | by Anton Maltsev | Apr, 2023 | Medium https://medium.com/@zlodeibaal/no-train-no-pain-the-limits-of-one-shot-eb9c5c53573b 0 comments
GitHub - microsoft/TaskMatrix https://github.com/microsoft/TaskMatrix 0 comments
Obvious next steps in AI research - by David Beniaguev https://davidbeniaguev.substack.com/p/obvious-next-steps-in-ai-research 0 comments
GitHub - luca-medeiros/lang-segment-anything: SAM with text prompt https://github.com/luca-medeiros/lang-segment-anything 0 comments
GitHub - haotian-liu/LLaVA: Visual Instruction Tuning: Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities. https://github.com/haotian-liu/LLaVA 0 comments

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