SOTAVerified

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 51–56 of 56 papers

TitleStatusHype
Lightweight In-Context Tuning for Multimodal Unified Models—0
UNITER: Learning UNiversal Image-TExt Representations—0
Logically at Factify 2022: Multimodal Fact Verification—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
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