LLM-Optic: Unveiling the Capabilities of Large Language Models for Universal Visual Grounding

27 May 2024

Papers citing "LLM-Optic: Unveiling the Capabilities of Large Language Models for Universal Visual Grounding"

7 / 7 papers shown

Title
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 87 0 0 01 Dec 2024
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning Jun Chen Deyao Zhu Xiaoqian Shen Xiang Li Zechun Liu Pengchuan Zhang Raghuraman Krishnamoorthi Vikas Chandra Yunyang Xiong Mohamed Elhoseiny MLLM 154 280 0 14 Oct 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 244 4,186 0 30 Jan 2023
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection Lewei Yao Jianhua Han Youpeng Wen Xiaodan Liang Dan Xu Wei Zhang Zhenguo Li Chunjing Xu Hang Xu CLIP VLM 115 98 0 20 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 380 4,010 0 28 Jan 2022
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation Gen Luo Yiyi Zhou Xiaoshuai Sun Liujuan Cao Chenglin Wu Cheng Deng Rongrong Ji ObjD 156 282 0 19 Mar 2020