VLMs

Video-RAG: Training-Free Retrieval for Long-Video LVLMs

Long videos are brutal for today s Large Vision Language Models LVLMs A 30 60 minute clip contains thousands of frames multiple speakers on screen text and objects that appear

RAGs, VLMs

Object Detection and Spatial Understanding with VLMs ft. Qwen2.5-VL

What if object detection wasn t just about drawing boxes but about having a conversation with an image Dive deep into the world of Vision Language Models VLMs and see

Computer Vision, LLMs, NLP, Uncategorized, Vision Language Models, VLMs

SimLingo: Vision-Language-Action Model for Autonomous Driving

SimLingo is a remarkable model that combines autonomous driving language understanding and instruction aware control all in one unified camera only framework It not only delivered top rankings on CARLA

Advanced Driver Assistance Systems, Autonomous Vehicle, Computer Vision, Robotics, VLMs

FineTuning Gemma 3n for Medical VQA on ROCOv2

What if a radiologist facing a complex scan in the middle of the night could ask an AI assistant for a second opinion right from their local workstation This isn

Computer Vision, Generative AI, Generative Models, LLMs, Multimodal Models, NLP, Transformer Neural Networks, Vision Language Models, Vision Transformer, VLMs

Building an Agentic Browser with LangGraph: A Visual Automation and Summarization Pipeline

Developing intelligent agents using LLMs like GPT 4o Gemini etc that can perform tasks requiring multiple steps adapt to changing information and make decisions is a core challenge in AI

Agentic AI, Computer Vision, Generative AI, Generative Models, LLMs, VLMs

Fine-Tuning AnomalyCLIP: Class-Agnostic Zero-Shot Anomaly Detection

Zero shot anomaly detection ZSAD is a vital problem in computer vision particularly in real world scenarios where labeled anomalies are scarce or unavailable Traditional vision language models VLMs like

Anomaly Detection, Vision Transformer, VLMs