Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following

6 June 2024

Papers citing "Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following"

8 / 8 papers shown

Title
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks? Sicheng Wang Che Liu Rossella Arcucci VLM MedIm 21 0 0 31 Aug 2024
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
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 382 4,010 0 28 Jan 2022
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding Hu Xu Gargi Ghosh Po-Yao (Bernie) Huang Dmytro Okhonko Armen Aghajanyan Florian Metze Luke Zettlemoyer Florian Metze Luke Zettlemoyer Christoph Feichtenhofer CLIP VLM 245 554 0 28 Sep 2021
ActionCLIP: A New Paradigm for Video Action Recognition Mengmeng Wang Jiazheng Xing Yong Liu VLM 149 360 0 17 Sep 2021
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
Detecting Attended Visual Targets in Video Eunji Chong Yongxin Wang Nataniel Ruiz James M. Rehg 191 109 0 05 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014