2 papers
cs.CV2024
MMBench: Is Your Multi-modal Model an All-around Player?
Yuan Liu, Haodong Duan, Yuanhan Zhang +9
Large vision-language models (VLMs) have recently achieved remarkable progress, exhibiting impressive multimodal perception and reasoning abilities. However, effectively evaluating…
cs.CV2024
SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation
Yike Yuan, Huanzhang Dou, Fengjun Guo +1
This paper represents a neat yet effective framework, named SemanticMIM, to integrate the advantages of masked image modeling (MIM) and contrastive learning (CL) for general visual…