… Their applicability to multi-modal contexts like image captioning, however, is still largely …
Transformer with Memory for Image Captioning. The architecture improves both the image …

… for the machine translation, where each transformer layer contains a single (… image
transformer for image captioning, where each transformer layer implements multiple sub-transformers…

… In image captioning, the typical attention mechanisms are … are the dominating architectures
in image captioning. However, … In this paper, we investigate a Transformer-based sequence …

… and efficiently incorporate grid features with transformer-based architecture for image
captioning. To achieve this target, we propose a S2 Transformer—a simple yet effective approach …

… visual representation, which is essential to improve captioning performance. In GED, we first
… Hence, we regard the existing captions generated by the classical image captioning model …

… of image captioning, we propose a novel architecture ReFormer- a RElational transFORMER
to … in the image. ReFormer incorporates the objective of scene graph generation with that of …

… Dual-Level Collaborative Transformer In this section, we introduce a novel image captioning
model, named Dual-Level Collaborative Transformer, which uses both grid and region …

… In this paper, we consider the image captioning task from a new sequence-to-sequence …
TransformeR (CPTR) which takes the sequentialized raw images as the input to Transformer. …

… Image Captioning is the task of translating an input image into a textual description. As
such… In this work, we focus on Transformer-based image captioning models and provide …

… captioning models. We evaluate SATIC model on the challenging MSCOCO [3] image
captioning … We present three examples of generated image captions in Figure 3. From the top …