VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models

12 September 2022

Papers citing "VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models"

6 / 6 papers shown

Title
VideoGEM: Training-free Action Grounding in VideosComputer Vision and Pattern Recognition (CVPR), 2025 Felix Vogel Walid Bousselham Anna Kukleva Nina Shvetsova Hilde Kuehne LM&Ro VLM 253 0 0 26 Mar 2025
Questionable practices in machine learning Gavin Leech Juan J. Vazquez Misha Yagudin Niclas Kupper Laurence Aitchison 236 6 0 17 Jul 2024
Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language ModelsACM Multimedia (ACM MM), 2023 Zheng Ma Mianzhi Pan Wenhan Wu Ka Leong Cheng Jianbing Zhang Shujian Huang Jiajun Chen VLM CoGe 185 8 0 06 Aug 2023
What Makes ImageNet Look Unlike LAION Ali Shirali Moritz Hardt 82 12 0 27 Jun 2023
On the Transferability of Visual Features in Generalized Zero-Shot Learning Paola Cascante-Bonilla Leonid Karlinsky James Smith Yanjun Qi Vicente Ordonez 197 2 0 22 Nov 2022
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Zhuo Chen Yufen Huang Jiaoyan Chen Yuxia Geng Wen Zhang Yin Fang Jeff Z. Pan Huajun Chen VLM 369 80 0 04 Jul 2022