Vision fine-tuning overview

FlashAttention-T: Towards Tensorized Attention

Using Vision-Language Models to Segment Robot Demonstration Videos into Subtask Annotations

This article presents a benchmark and field report on using Vision-Language Models (VLMs) to segment robot demonstration videos and egocentr

Extreme Super-Resolution via Scale Autoregression and Preference Alignment

DatBench: A New Framework for More Faithful and Efficient Vision-Language Model Evaluation

The article introduces DatBench, a new evaluation framework for vision-language models (VLMs) that addresses critical issues in current eval

StreamingVLM: Real-Time Vision-Language Model for Infinite Video Stream Processing

StreamingVLM is a new vision-language model designed for real-time understanding of infinite video streams, addressing the computational cha

Theoretical Foundations of Deep Learning