Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation

Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation

2 November 2023

Papers citing "Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation"

10 / 10 papers shown

Title
VGLD: Visually-Guided Linguistic Disambiguation for Monocular Depth Scale Recovery Bojin Wu Jing Chen MDE 42 0 0 05 May 2025
Vision-Language Embodiment for Monocular Depth Estimation Jinchang Zhang Guoyu Lu VLM MDE 44 0 0 18 Mar 2025
PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimation Ziyao Zeng Jingcheng Ni Daniel Wang Patrick Rim Younjoon Chung Fengyu Yang Byung-Woo Hong A. Wong DiffM MDE 98 2 0 24 Nov 2024
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions Ziyao Zeng Yangchao Wu Hyoungseob Park Daniel Wang Fengyu Yang Stefano Soatto Dong Lao Byung-Woo Hong Alex Wong MDE 16 7 0 03 Oct 2024
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation Yushun Tang Ce Zhang Heng Xu Shuoshuo Chen Jie Cheng Luziwei Leng Qinghai Guo Zhihai He TTA 37 24 0 02 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
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 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
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,584 0 21 Jan 2020
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 180 1,705 0 06 Jun 2018