Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks. (arXiv:2211.09808v1 [cs.CV])

Despite the remarkable success of foundation models, their task-specific
fine-tuning paradigm makes them inconsistent with the goal of general
perception modeling. The key to eliminating this inconsistency is to use
generalist models for general task modeling. However, existing attempts at
generalist models are inadequate in both versatility and performance. In this
paper, we propose Uni-Perceiver v2, which is the first generalist model capable
of handling major large-scale vision and vision-language tasks with competitive
performance. Specifically, images are encoded as general …

arxiv language perceiver scale vision