VioletVision-3B

Modern pretrained vision models achieve strong accuracy but demand substantial GPU memory for fine-tuning, making edge d

Autonomous robots often need to move their camera before they can act: to inspect an object, reveal an occluded region,

Large Language Models (LLMs) can produce detailed answers to complex queries, but these answers are typically presented

We introduce PerceptionRubrics, a rubric-based evaluation framework that addresses the gap between saturated benchmark s

The prompt learning paradigm for vision-language models is effective yet faces a granularity dilemma: global prompts lac

Compositional visual question answering requires Vision-Language Models (VLMs) to execute multiple reasoning operations

Accurate breast cancer classification from mammography requires effective integration of complementary information from

Vision Transformers (ViTs) have demonstrated remarkable performance in computer vision tasks. However, their self-attent

利用 AI 大模型，一键解说并剪辑视频

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

Datasets, Transforms and Models specific to Computer Vision

本项目旨在为致力于进入VLA(Vision-Language-Action)领域的算法工程师提供一份全中文、实战导向的学习/面试手册。 不同于通用的 CV/NLP 面试指南，本项目聚焦于 Robotics 特有的挑战

A starter kit for training vision-language models.