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Visual Entailment

Visual Entailment (VE) - is a task consisting of image-sentence pairs whereby a premise is defined by an image, rather than a natural language sentence as in traditional Textual Entailment tasks. The goal is to predict whether the image semantically entails the text.

Papers

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Showing 31–40 of 56 papers

TitleStatusHype
Visual Entailment Task for Visually-Grounded Language Learning—0
Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment—0
AlignVE: Visual Entailment Recognition Based on Alignment Relations—0
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering—0
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks—0
Prompt Tuning for Generative Multimodal Pretrained Models—0
Visual Entailment: A Novel Task for Fine-Grained Image Understanding—0
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing—0
How Much Can CLIP Benefit Vision-and-Language Tasks?—0
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning—0
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