Guiding Image Captioning Models Toward More Specific Captions

Guiding Image Captioning Models Toward More Specific Captions

31 July 2023

Simon Kornblith

Thao Nguyen

Papers citing "Guiding Image Captioning Models Toward More Specific Captions"

8 / 8 papers shown

Title
No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning Manu Gaur Darshan Singh Makarand Tapaswi 49 1 0 04 Sep 2024
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training Wei Li Linchao Zhu Longyin Wen Yi Yang VLM 40 81 0 06 Mar 2023
Text-Only Training for Image Captioning using Noise-Injected CLIP David Nukrai Ron Mokady Amir Globerson VLM CLIP 41 69 0 01 Nov 2022
CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning Shi-You Xu VLM DiffM 24 11 0 10 Oct 2022
Fine-grained Image Captioning with CLIP Reward Jaemin Cho Seunghyun Yoon Ajinkya Kale Franck Dernoncourt Trung Bui Mohit Bansal CLIP 121 76 0 26 May 2022
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand Jungo Kasai Keisuke Sakaguchi Ronan Le Bras Lavinia Dunagan Jacob Morrison Alexander R. Fabbri Yejin Choi Noah A. Smith 49 39 0 08 Dec 2021
Primer: Searching for Efficient Transformers for Language Modeling David R. So Wojciech Mañke Hanxiao Liu Zihang Dai Noam M. Shazeer Quoc V. Le VLM 83 149 0 17 Sep 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021