Explore tweets tagged as #image_segmentation
これ相当Geminiのユースケース広がりそう。Googleが新しく発表した"Conversational image segmentation with Gemini 2.5"でプロンプトだけで物体検知と領域検知ができるように。実際に試してみた所、かなり正確に認識できてそう。以下の画像が『猫と植木鉢』という入力だけで得られた。詳細はリプ↓
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🤔 Ever wondered how AI could master both language and pixel-perfect vision? Meet X-SAM, a game-changing Multimodal Large Language Model (MLLM) that takes image segmentation to the next level! While LLMs excel in knowledge, they struggle with pixel-level perception, and SAM
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Googleの「Conversational image segmentation with Gemini 2.5」を試してみました。 具体的には、自作ゲーム3点のスクリーンショットを読み込ませ、様々なセグメンテーションマスクの検出処理を実行しました。 例えば、「Casual
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MAGRes-UNet: Improved Medical Image Segmentation Through a Deep Learning Paradigm ... >>> https://t.co/Re9llotWXJ
#AI #人工知能 #生成AI #機械学習 #深層学習 #ディープラーニング
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MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation.
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8. Key Problems Solved NLP: It addresses problems like language understanding, parsing sentences, and managing dialogue. CV: It addresses problems like image classification, object detection, and image segmentation.
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🧠 Generative AI is revolutionizing medical image segmentation—delivering high accuracy with minimal data. A major leap for healthcare AI. 🔗 https://t.co/3Uiz3HKZbb
#AI #Healthcare #MedicalImaging #GenerativeAI #HealthTech
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🔬 Excited to share the publication "Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches" 👉 https://t.co/Hg3LvT55Yx
#image_segmentation #image_processing #deep_learning #biomedical_engineering #diagnostic
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🌿New Publication🌿 Fast Detection of #Plants in #Soybean Fields Using #UAVs, #YOLOv8x Framework, and Image Segmentation By Ravil I. Mukhamediev et al. 👉See the paper: https://t.co/wrOyaZemEi
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Conversational image segmentation with Gemini 2.5 この数の招き猫はさすがにさばききれまい #豪徳寺
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🖼️ 4. New interactive interface! View image segmentation Add or delete comparison images directly The image type after machine segmentation can be modified 5. Tools to tell true positives from false ones faster #ResearchTools #Figcheck
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Finding objects in 3D space using 3D segmentation masks and VLMs operating on multi-view image sequences.
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「Conversational image segmentation with Gemini 2.5」 将棋の駒画像セグメンテーションもわりとできている。今後に期待。
Gemini 2.5 introduces conversational image segmentation for AI, enabling advanced visual understanding through object relationships, conditional logic, and in-image text. https://t.co/urfBEAwV7U
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Can’t believe how good image segmentation is in nano-banana. Here is an App created with Canvas that makes a cosmic backgrounds of your pictures. All from a single prompt. https://t.co/yUmelm1B3L
Introducing Gemini 2.5 Flash Image (aka nano-banana), our SOTA image generation and editing model 🍌 As you might have already seen, this model excels at character consistency, creative edits, and has Gemini's world knowledge!
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GenSeg: Revolutionizing Medical Image Segmentation with Generative AI in Low-Data Environments #MedicalAI #ImageSegmentation #GenSeg #HealthcareInnovation #DeepLearning
https://t.co/CiyEl6RUst Understanding Medical Image Segmentation Medical image segmentation is a fundamenta…
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This is ridiculous 🤯🙌🏽 A Image gen model that can also object detection, segmentation and super res @Alibaba_Qwen cooked hard!
🚀 Meet Qwen-Image — a 20B MMDiT model for next-gen text-to-image generation. Especially strong at creating stunning graphic posters with native text. Now open-source. 🔍 Key Highlights: 🔹 SOTA text rendering — rivals GPT-4o in English, best-in-class for Chinese 🔹 In-pixel
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Discover the latest in image segmentation tech with #Intel's patent application #US20250252714A1! 📄 This #AI model handles multiple image sizes using shared convolutional layer parameters and size-specific layers like normalization. It trains with mixed-resolution images,
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#RecommendedPaper 🧠Otsu Multi-Threshold Image Segmentation Based on Adaptive Double-Mutation Differential Evolution by Yanmin Guo, et al. 🔎Read more at: https://t.co/31zZjkmBUa
#evolution #segmentation
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