Tag: vinvl
- An Empirical Study of Training End-to-End Vision-and-Language Transformers (21 Sep 2023)
This is my reading note for An Empirical Study of Training End-to-End Vision-and-Language Transformers. This paper provides a good review and comparison of multi modality (video and text) model’s design choice.
- Image as a Foreign Language BEiT Pretraining for All Vision and Vision-Language Tasks (05 Aug 2023)
This is my reading note for Image as a Foreign Language BEiT Pretraining for All Vision and Vision-Language Tasks. The paper proposes a multi modality model which models image data as foreign language and propose only to use masked language models as the pre-train tasks.
- CoCa Contrastive Captioners are Image-Text Foundation Models (31 Jul 2023)
This is my reading note for CoCa: Contrastive Captioners are Image-Text Foundation Models. The paper proposes a multi modality model, especially it models the problem as image caption as well as text alignment problem. The model contains three component: a vision encoder, a text decoder (which generates text embedding ) and a multi modality decoder , which generate caption given image and text embedding.
- MDETR -Modulated Detection for End-to-End Multi-Modal Understanding (16 Jul 2023)
This is my reading note for MDETR -Modulated Detection for End-to-End Multi-Modal Understanding. This paper proposes a method to learn object detection model from pairs of image and tree form text. The trained model is found to be capable of localizing unseen / long tail category.