ProS: Prompting-to-simulate Generalized knowledge for Universal
Cross-Domain Retrieval

ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval

19 December 2023

Jingkuan Song

Lianli Gao

Papers citing "ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval"

7 / 7 papers shown

Title
Data-Free Sketch-Based Image Retrieval Abhra Chaudhuri A. Bhunia Yi-Zhe Song Anjan Dutta 40 6 0 14 Mar 2023
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,249 0 02 Sep 2021
Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval Anibal Fuentes J. M. Saavedra 14 13 0 22 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,835 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 293 3,683 0 11 Feb 2021
Towards Recognizing Unseen Categories in Unseen Domains Massimiliano Mancini Zeynep Akata Elisa Ricci Barbara Caputo VLM 51 100 0 23 Jul 2020
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 160 841 0 17 May 2016