Imagine a single AI model that doesn’t just “see” or “read”—but seamlessly blends images and text in both input and…
vision-language modeling
AnomalyGPT: Industrial Anomaly Detection Without Manual Thresholds or Labeled Anomalies 1043
In industrial quality control, detecting defects—like cracks in concrete, scratches on metal, or deformities in packaged goods—is critical. Yet traditional…
Mini-Gemini: Close the Gap with GPT-4V and Gemini Using Open, High-Performance Vision-Language Models 3323
In today’s AI landscape, multimodal systems that understand both images and language are no longer a luxury—they’re a necessity. Yet,…
Qwen-VL: Open-Source Vision-Language AI for Text Reading, Object Grounding, and Multimodal Reasoning 6422
In the rapidly evolving landscape of multimodal artificial intelligence, developers and technical decision-makers need models that go beyond basic image…
Bunny: High-Performance Multimodal AI Without the Heavy Compute Burden 1046
Multimodal Large Language Models (MLLMs) are transforming how machines understand and reason about visual content. Yet, their adoption remains out…
Kimi-VL: High-Performance Vision-Language Reasoning with Only 2.8B Active Parameters 1122
For teams building real-world AI applications that combine vision and language—whether it’s parsing scanned documents, analyzing instructional videos, or creating…
GLM-V: Open-Source Vision-Language Models for Real-World Multimodal Reasoning, GUI Agents, and Long-Context Document Understanding 1899
If your team is building AI applications that need to see, reason, and act—like desktop assistants that interpret screenshots, UI…
Sa2VA: Unified Vision-Language Model for Accurate Referring Video Object Segmentation from Natural Language 1455
Sa2VA represents a significant leap forward in multimodal AI by seamlessly integrating the strengths of SAM2—Meta’s state-of-the-art video object segmentation…
Qwen2-VL: Process Any-Resolution Images and Videos with Human-Like Visual Understanding 17241
Vision-language models (VLMs) are increasingly essential for tasks that require joint understanding of images, videos, and text—ranging from document parsing…
MME: The First Comprehensive Benchmark to Objectively Evaluate Multimodal Large Language Models 17004
Multimodal Large Language Models (MLLMs) have captured the imagination of researchers and developers alike—promising capabilities like generating poetry from images,…