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Found 8 papers, 3 papers with code
Sketch-guided Image Inpainting with Partial Discrete Diffusion Process
In this work, we study the task of sketch-guided image inpainting.
Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch
and Sketchy datasets, respectively, and a $12. 2\%$ improvement in AP@50 for large objects that are `unseen' during training.
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision
We show that our augmentations significantly improve classification accuracy and robustness measures on a range of datasets and neural architectures.
Multimodal Query-guided Object Localization
In such a scenario, a hand-drawn sketch of the object could be a choice for a query.
Robustifying Deep Vision Models Through Shape Sensitization
We also obtain gains of up to 28% and 8. 5% on natural adversarial and out-of-distribution datasets like ImageNet-A (for ViT-B) and ImageNet-R (for ViT-S), respectively.
Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing
In VL-MPAG Net, we first construct a directed graph with object proposals as nodes and an edge between a pair of nodes representing a plausible relation between them.
Sketch-Guided Object Localization in Natural Images
We refer to this problem as sketch-guided object localization.
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
In a separate line of research, KG embedding methods have been proposed to reduce KG sparsity by performing missing link prediction.
