ViPE: Visualise Pretty-much Everything

16 October 2023

Papers citing "ViPE: Visualise Pretty-much Everything"

5 / 5 papers shown

Title
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance Vishaal Udandarao Ameya Prabhu Adhiraj Ghosh Yash Sharma Philip H. S. Torr Adel Bibi Samuel Albanie Matthias Bethge VLM 109 43 0 04 Apr 2024
Text-Only Training for Image Captioning using Noise-Injected CLIP David Nukrai Ron Mokady Amir Globerson VLM CLIP 41 69 0 01 Nov 2022
FLUTE: Figurative Language Understanding through Textual Explanations Tuhin Chakrabarty Arkadiy Saakyan Debanjan Ghosh Smaranda Muresan 42 65 0 24 May 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 382 4,010 0 28 Jan 2022
Towards Zero-Label Language Learning Zirui Wang Adams Wei Yu Orhan Firat Yuan Cao SyDa 167 101 0 19 Sep 2021