Latest posts tagged with #VisionLanguageModel on Bluesky
HiViS Boosts Vision-Language Model Speed with Visual Token Hiding
HiViS cuts the drafter’s prefill sequence to just 0.7%‑1.3% of the original input, delivering up to 2.65× faster inference without quality loss in multimodal AI. Read more: getnews.me/hivis-boosts-vision-lang... #hivis #visionlanguagemodel
#MistralAI Document #AI: Advanced #OCR solution for complex document processing 📄
📺 www.youtube.com/watch?v=yrx...
🔧 Fine-tuned #VisionLanguageModel specifically designed for document understanding beyond traditional #OCR limitations that plague most business workflows
🧵 👇
A Pan-Organ Vision-Language Model for Generalizable 3D CT Representations
Beeche, C. A., Chen, T. et al.
Paper
Details
#3DCTRepresentations #VisionLanguageModel #MedicalImagingInnovation
Pour essayer Qwen2.5-VL :
1. Installer Ollama https://ollama.com/download
2. Télécharger/lancer le modèle : ollama run qwen2.5vl:7b
3. Exemple de prompt : Describe this picture /path/to/file.png
#OpenSource #VLM #LLM #VisionLanguageModel
Je viens d'essayer Qwen2.5-VL:7b le dernier modèle de vision de Qwen (Alibaba).
- il est multilingue mais il vaut mieux lui donner des instructions en anglais et peut-être même en chinois
- j'ai pu utiliser le chat interactif pour lui faire analyser une image
- la version 7B est plutôt bonne […]
Can you ask questions about an image?
A 'Vision Language Model' links your question with the visual content of an image. It will generate a full response to your question.
#learnAI #VisionLanguageModel
#UITARS Desktop: The Future of Computer Control through Natural Language 🖥️
🎯 #ByteDance introduces GUI agent powered by #VisionLanguageModel for intuitive computer control
Code: lnkd.in/eNKasq56
Paper: lnkd.in/eN5UPQ6V
Models: lnkd.in/eVRAwA-9
#ai
🧵 ↓
Sub-1B #Vision Language Model: Introducing OmniVision-968M 🔍
#NexaAI introduces #OmniVision, 968M #VisionLanguageModel for edge devices with 9x token reduction & enhanced accuracy via #DPO. Based on #Qwen & #SigLIP architecture. Try demo on #HuggingFace
nexa.ai/blogs/omni-v...
#ai
Explore a collection of visualizations demonstrating the effectiveness of promptable and open-vocabulary segmentation across various datasets. #visionlanguagemodel
This evaluation explores promptable segmentation using uniform point grids and ground-truth bounding boxes across various datasets. #visionlanguagemodel
Uni-OVSeg combines CLIP, multi-scale pixel decoders, and visual prompts for effective open-vocabulary segmentation, boosting weakly-supervised learning. #visionlanguagemodel
Uni-OVSeg advances open-vocabulary segmentation, benefiting sectors like medical imaging and autonomous vehicles while addressing the risk of AI bias in dataset #visionlanguagemodel
Uni-OVSeg outperforms weakly-supervised and fully-supervised methods in open-vocabulary segmentation, showing superior results on datasets like PASCAL and COCO. #visionlanguagemodel
Uni-OVSeg offers a breakthrough in open-vocabulary segmentation, reducing reliance on triplets and achieving superior performance, surpassing current models.
#visionlanguagemodel
The baseline for open-vocabulary segmentation uses image-text and image-mask pairs with the CLIP model for feature extraction. #visionlanguagemodel
Explore the datasets, including SA-1B and image-text pairs, used for training open-vocabulary segmentation. #visionlanguagemodel
Explore the evolution of segmentation techniques, from semantic to open-vocabulary segmentation, and the role of vision-language models in improving performance #visionlanguagemodel
Get familiar with the open-vocabulary segmentation problem, where the aim is to segment images into masks associated with unseen semantic categories. #visionlanguagemodel
Google DeepMind’s PaliGemma: A Small But Mighty Open-Source Vision-Language Model.
See here - techchilli.com/news/google-...
#GoogleDeepMind #PaliGemma #VisionLanguageModel #AI #TechInnovation #OpenSource #MachineLearning #AIEfficiency #TechTrends #FutureOfAI #ArtificialIntelligence
