WebApr 18, 2024 · Image captioning has conventionally relied on reference-based automatic evaluations, where machine captions are compared against captions written by … WebAug 8, 2024 · Step 4: Run Dense Video Captioning on the Video. Navigate back to the main project folder and then activate the bmt environment which was set up previously. Finally, we can run video captioning using the below command: cd ../../. conda activate bmt. python ./sample/single_video_prediction.py \.
Fine-grained Image Captioning with CLIP Reward - ACL Anthology
WebToward more descriptive and distinctive caption generation, we propose using CLIP, a multimodal encoder trained on huge image-text pairs from web, to calculate multimodal similarity and use it as a reward function. We also propose a simple finetuning strategy of the CLIP text encoder to improve grammar that does not require extra text annotation. WebDec 17, 2024 · A novel architecture designed to generate meme clips, ClipMe comprises of four modules: Image Caption Generation, Meme Template Selection, Meme Generation, and Audio Mapper. Image Caption... gas ring burner cast iron
Adobe Research » Fine-grained Image Captioning with CLIP Reward
WebJan 5, 2024 · CLIP (Contrastive Language–Image Pre-training) builds on a large body of work on zero-shot transfer, natural language supervision, and multimodal learning.The … WebJun 9, 2024 · CoCa (Contrastive Captioner; Yu & Wang et al., 2024) captures both the merits of contrastive learning and image-to-caption generation. It is a model jointly trained with contrastive loss on CLIP-style representation and generative loss on image captioning, achieving SoTA zero-shot transfer on a variety of multi-modal evaluation tasks. Fig. 19. WebJun 7, 2024 · Future Utterance as an Additional Text Signal. Typically, each training video clip for multimodal video captioning is associated with two different texts: (1) a speech transcript that is aligned with the clip as a part of the multimodal input stream, and (2) a target caption, which is often manually annotated.The encoder learns to fuse information … david lee roth website