Jan 30, 2023 · This paper proposes BLIP-2, a generic and efficient pre-training strategy that bootstraps vision-language pre-training from off-the-shelf frozen pre-trained ...
This paper proposes BLIP-2, a generic and efficient pre- training strategy that bootstraps vision-language pre-training from off-the-shelf frozen pre-trained.
Jul 23, 2023 · This paper proposes BLIP-2, a generic and efficient pretraining strategy that bootstraps vision-language pre-training from off-the-shelf frozen pretrained ...
Jan 30, 2023 · BLIP-2 achieves state-of-the-art performance on various vision-language tasks, despite having significantly fewer trainable parameters than existing methods.
This paper proposes BLIP-2, a generic and efficient pre-training strategy that bootstraps vision-language pre-training from off-the-shelf frozen pre-trained ...
Duration: 19:09
Posted: Feb 16, 2024
Posted: Feb 16, 2024
Jan 30, 2023 · This paper proposes BLIP-2, a generic and efficient pre-training strategy that bootstraps vision-language pre-training from off-the-shelf frozen pre-trained ...
Jun 12, 2023 · BLIP-2 (Li et al., 2023) proposes a method that enables the use of frozen vision and language models and sufficiently bridges the modality gap between the two ...
BLIP-2's second-stage vision-to-language generative pre-training, which bootstraps from frozen large language models (LLMs). (Top) Bootstrapping a decoder-based ...
Feb 5, 2023 · [R] BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.