TreePrompt: Learning to Compose Tree Prompts for Explainable Visual
Grounding

TreePrompt: Learning to Compose Tree Prompts for Explainable Visual Grounding

19 May 2023

Lei Chen

Papers citing "TreePrompt: Learning to Compose Tree Prompts for Explainable Visual Grounding"

8 / 8 papers shown

Title
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst Elisabeth Rumetshofer Johannes Lehner Viet-Hung Tran Fei Tang ... David P. Kreil Michael K Kopp G. Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 207 102 0 21 Oct 2021
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models Yuan Yao Ao Zhang Zhengyan Zhang Zhiyuan Liu Tat-Seng Chua Maosong Sun MLLM VPVLM VLM 208 221 0 24 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 348 2,271 0 02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,858 0 18 Apr 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 328 3,708 0 11 Feb 2021
Unifying Vision-and-Language Tasks via Text Generation Jaemin Cho Jie Lei Hao Tan Joey Tianyi Zhou MLLM 277 525 0 04 Feb 2021
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 176 286 0 19 Mar 2020
A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension Yue Liao Si Liu Guanbin Li Fei Wang Yanjie Chen Chao Qian Bo-wen Li ObjD 64 199 0 16 Sep 2019