conftrace_

vision-language model

2348 papers

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Also known as

VLM VL MODEL VLMS

Co-occurring keywords

multimodal learning (4645) zero-shot learning (3650) vision language model (767) contrastive learning (4032) large language model (13587) visual question answering (1017) transfer learning (5449) few-shot learning (3398) knowledge distillation (3725) semantic segmentation (3186)

Papers

Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination EMNLP 2022
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies? EMNLP 2022
Exploring Compositional Image Retrieval with Hybrid Compositional Learning and Heuristic Negative Mining EMNLP 2022
MAGMA – Multimodal Augmentation of Generative Models through Adapter-based Finetuning EMNLP 2022
Image Retrieval from Contextual Descriptions ACL 2022
Describing Sets of Images with Textual-PCA EMNLP 2022
Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective AAAI 2022
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations ACL 2022
Probing the Role of Positional Information in Vision-Language Models NAACL 2022
Bootstrapping a high quality multilingual multimodal dataset for Bletchley ACML 2022
Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models CORL 2022
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images NAACL 2021
Vision-Language Transformer and Query Generation for Referring Segmentation ICCV 2021
Cross-lingual Cross-modal Pretraining for Multimodal Retrieval NAACL 2021
VinVL: Revisiting Visual Representations in Vision-Language Models CVPR 2021
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning NIPS 2021
MURAL: Multimodal, Multitask Representations Across Languages EMNLP 2021
Visually Grounded Reasoning across Languages and Cultures EMNLP 2021
Causal Attention for Vision-Language Tasks CVPR 2021
Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models ICCV 2021
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers CVPR 2021
Investigating Negation in Pre-trained Vision-and-language Models EMNLP 2021
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models NAACL 2021
Learning to Read Maps: Understanding Natural Language Instructions from Unseen Maps IJCNLP 2021
Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding EMNLP 2021