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Segment Anything (SAM)
SAM: Segment Anything Meta AI Research, FAIR Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 4015-4026, 2023. Introduction Motivation Objective Segment Anything (SAM) = Interactive Segmentation + Automatic Segmentation Segment Anything: Simultaneously develop a general, promptable segmentation model and use it to create a segmentation dataset of unprecedented scale. Related Works Foundation…
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[ViT] An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale
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ViT: An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale Google Research, Brain Team The 9th International Conference on Learning Representations, ICLR, 2021. Introduction Motivation The Transformer model and its variants have been successfully shown that they can be comparable to or even better than the state-of-the-art in several tasks, especially in the field of NLP. Objective Related…
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