Do VLMs Need Vision Transformers? Evaluating State Space Models as Vision Encoders

Do VLMs Need Vision Transformers? Evaluating State Space Models as Vision Encoders explores This research proposes state space models as a more efficient and competitive alternative to transformer-based vision encoders for large vision-language models, offering improved performance and robustness at a smaller scale.. Commercial viability score: 7/10 in Vision-Language Models.