The OpenMOSS team has recently made the MOSS-VL series of visual comprehension models available as open source. Leveraging an innovative cross-attention framework, these models separate visual encoding from cognitive reasoning processes. This approach overcomes the computational efficiency limitations that traditional models face when handling video streams. As a result, inference latency is notably decreased, and the models exhibit outstanding performance in various video understanding tasks.
