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[논문 리뷰] BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation(2022)
이번에 리뷰할 논문은 BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation 입니다. https://paperswithcode.com/paper/blip-bootstrapping-language-image-pre Papers with Code - BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation #3 best model for Open Vocabulary Attribute Detection on OVAD-Box benchmark (mean..
[논문 리뷰] CLIP: Learning Transferable Visual Models From Natural Language Supervision(2021)
이번에 리뷰할 논문은 Learning Transferable Visual Models From Natural Language Supervision 입니다. https://arxiv.org/abs/2103.00020 Learning Transferable Visual Models From Natural Language Supervision State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories. This restricted form of supervision limits their generality and usability since additional label..