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Found 5 papers, 1 papers with code
UniQ: Unified Decoder with Task-specific Queries for Efficient Scene Graph Generation
In this paper, we introduce UniQ, a Unified decoder with task-specific Queries architecture, where task-specific queries generate decoupled visual features for subjects, objects, and predicates respectively, and unified decoder enables coupled feature modeling within relational triplets.
Detection-based Intermediate Supervision for Visual Question Answering
Recently, neural module networks (NMNs) have yielded ongoing success in answering compositional visual questions, especially those involving multi-hop visual and logical reasoning.
An Empirical Study on the Language Modal in Visual Question Answering
Generalization beyond in-domain experience to out-of-distribution data is of paramount significance in the AI domain.
STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction
Hence, we propose a novel approach, Span TAgging and Greedy infErence (STAGE), to extract sentiment triplets in span-level, where each span may consist of multiple words and play different roles simultaneously.
Visual-Semantic Transformer for Scene Text Recognition
In this work, we propose to model semantic and visual information jointly with a Visual-Semantic Transformer (VST).
