Lei Zhang
@leizhangcs
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Chief Scientist, IDEA Research. Formerly @Microsoft, @MSFTResearch
Joined January 2010
Referring is a critical skill for machines to perform language-guided tasks. I'm excited to share our latest advancement, #DINOXSeek, which was built on our new research work #RexSeek! Paper: https://t.co/bngmsuqJp9 Github: https://t.co/vG4pv9BT2L Demo: https://t.co/BbQjPvlWyF
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The API for prompt-free object detection is ready, which means you do not need to provide any prompt and DINO-X will automatically recognize, detect, and segment objects in the provided images. Feel free to check out https://t.co/4V7x4tiZax and try this feature.
🌟 Introducing DINO-X, our groundbreaking unified vision model at IDEA Research! Paper: https://t.co/89gUTzuRVV Blog: https://t.co/zUPG5J4kYx Playground: https://t.co/KHBfWOyG5P API: https://t.co/35hbTnR8mK
#AI #ComputerVision #ObjectDetection #IDEAResearch Highlights:
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By adding a small language model on top of the object detection results, we can now describe each object with dense captions.
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In DINO-X, we add a new feature of prompt-free detection, making it possible to detect anything without the need of providing any prompt.
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✅ Best-in-class open-world detection performance ✅ Prompt-free detection of anything ✅ Powered by 100M+ grounding training images ✅ Multi-task support: detection, segmentation, pose estimation, object captioning & more See more examples
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🌟 Introducing DINO-X, our groundbreaking unified vision model at IDEA Research! Paper: https://t.co/89gUTzuRVV Blog: https://t.co/zUPG5J4kYx Playground: https://t.co/KHBfWOyG5P API: https://t.co/35hbTnR8mK
#AI #ComputerVision #ObjectDetection #IDEAResearch Highlights:
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⚠️T-rex Label v1.2 Update is here⚠️ ✅You can now manually get rid of extra boxes in smart drawing ✅Shortcut keys have been improved ✅Creating categories is faster and easier more about product? :: https://t.co/968qhdQMpZ
#computersciences #CV #annotation #TREX
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Cool work! Enjoy the new Grounded SAM 2
Grounded SAM 2: Ground and Track Anything in Videos https://t.co/ARwXKNxk4e Based on the core concept of Ground SAM, we have introduced Grounded SAM 2. We have open-sourced our code, allowing users to input custom videos and create impressive object tracking videos. #AI #SAM2
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#ECCV2024 Beyond Semantic, Tracking Any Area. Tracking of the finest visual granularity greatly enhances the flexibility, allowing us to beyond the semantic and track any area. Here, we use this demo as an example to demonstrate the potential of TAPTR in downstream tasks.
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We have a booth #2018 at CVPR this year. Come and visit us if you are interested in our new models Grounding DINO 1.5 and T-Rex2. #CVPR2024
We will be participating in the #CVPR2024 tomorrow! Join us at Booth #2018 to explore our latest models and products. Chat with the core Grounding DINO team members! https://t.co/v3jZEJJnzW
@CVPR @CVPRConf
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The model can be tried out on the playground and accessed by open API. Paper: https://t.co/XDJ9hv5BYB Blog: https://t.co/P3C1r8T9UI Playground: https://t.co/pjpHK09rw1 API Access: https://t.co/YRswXi8pY7
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🌟 Grounding DINO 1.5 Edge is optimized for edge computing scenarios, achieving 75.2 FPS on NVIDIA A100 and over 10 FPS on NVIDIA Orin NX while maintaining an excellent balance between efficiency and accuracy.
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Today, we're thrilled to announce the release of Grounding DINO 1.5, featuring two distinct models tailored for various scenarios: 🌟 Grounding DINO 1.5 Pro offers top-tier zero-shot performance on diverse benchmarks: 54.3 AP on COCO, 55.7 AP on LVIS, and 30.2 AP on ODinW.
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