FOIL it! Find One mismatch between Image and Language caption

3 May 2017

Papers citing "FOIL it! Find One mismatch between Image and Language caption"

21 / 21 papers shown

Title
TULIP: Towards Unified Language-Image Pretraining Zineng Tang Long Lian Seun Eisape Xudong Wang Roei Herzig Adam Yala Alane Suhr Trevor Darrell David M. Chan VLM CLIP MLLM 95 3 0 19 Mar 2025
MASS: Overcoming Language Bias in Image-Text Matching Jiwan Chung Seungwon Lim Sangkyu Lee Youngjae Yu VLM 30 0 0 20 Jan 2025
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation Michal Golovanevsky William Rudman Vedant Palit Ritambhara Singh Carsten Eickhoff 31 1 0 24 Jun 2024
Don't Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models A. Bavaresco A. Testoni Raquel Fernández 25 2 0 31 May 2024
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations? Letitia Parcalabescu Anette Frank MLLM CoGe VLM 82 3 0 29 Apr 2024
Polos: Multimodal Metric Learning from Human Feedback for Image Captioning Yuiga Wada Kanta Kaneda Daichi Saito Komei Sugiura 34 24 0 28 Feb 2024
Scalable Performance Analysis for Vision-Language Models Santiago Castro Oana Ignat Rada Mihalcea VLM 19 1 0 30 May 2023
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics Saba Ahmadi Aishwarya Agrawal 17 6 0 24 May 2023
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models Jin-Hwa Kim Yunji Kim Jiyoung Lee Kang Min Yoo Sang-Woo Lee EGVM 29 32 0 25 May 2022
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge Brielen Madureira David Schlangen 17 4 0 14 Apr 2022
CLIP-Event: Connecting Text and Images with Event Structures Manling Li Ruochen Xu Shuohang Wang Luowei Zhou Xudong Lin Chenguang Zhu Michael Zeng Heng Ji Shih-Fu Chang VLM CLIP 10 123 0 13 Jan 2022
EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching Yaya Shi Xu Yang Haiyang Xu Chunfen Yuan Bing Li Weiming Hu Zhengjun Zha 31 33 0 17 Nov 2021
QACE: Asking Questions to Evaluate an Image Caption Hwanhee Lee Thomas Scialom Seunghyun Yoon Franck Dernoncourt Kyomin Jung CoGe 8 18 0 28 Aug 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning Jack Hessel Ari Holtzman Maxwell Forbes Ronan Le Bras Yejin Choi CLIP 11 1,434 0 18 Apr 2021
Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case Adam Dahlgren Lindström Suna Bensch Johanna Björklund F. Drewes 14 20 0 22 Feb 2021
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks Jiasen Lu Dhruv Batra Devi Parikh Stefan Lee SSL VLM 37 3,610 0 06 Aug 2019
Evaluating the Representational Hub of Language and Vision Models Ravi Shekhar Ece Takmaz Raquel Fernández Raffaella Bernardi 22 11 0 12 Apr 2019
Pre-gen metrics: Predicting caption quality metrics without generating captions Marc Tanti Albert Gatt K. Camilleri 14 2 0 12 Oct 2018
How clever is the FiLM model, and how clever can it be? A. Kuhnle Huiyuan Xie Ann A. Copestake 16 6 0 09 Sep 2018
Targeted Syntactic Evaluation of Language Models Rebecca Marvin Tal Linzen 23 406 0 27 Aug 2018
Defoiling Foiled Image Captions Pranava Madhyastha Josiah Wang Lucia Specia 14 9 0 16 May 2018