Tag: semantic-segmentation

• Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V (13 Nov 2023)
  

  This is my reading note for Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V. This paper demonstrates how to combine the Sam with gpt-4v to perform more fine grained visual understanding of visual data. To this end, the paper first uses Sam to annotate the image with region marks and number. GPT-4V is then promoted to understand the image with those annotations.

• Swin Transformer (11 Apr 2021)
  

  ViT provides the possibilities of using transformers along as a backbone for vision tasks. However, due to transformer conduct global self attention, where the relationships of a token and all other tokens are computed, its complexity grows exponentially with image resolution. This makes it inefficient for image segmentation or semantic segmentation task. To this end, twin transformer is proposed in Swin Transformer: Hierarchical Vision Transformer using Shifted Windows, which addresses the computation issue by conducting self attention in a local window and has multi-layers for windows at different resolution.