4 citations · 4 across the 4 of their papers we have counts for
4 papers
Neuro-Symbolic Spatial Reasoning in Segmentation
Jiayi Lin, Jiabo Huang, Shaogang Gong
Open-Vocabulary Semantic Segmentation (OVSS) assigns pixel-level labels from an open set of categories, requiring generalization to unseen and unlabelled objects. Using vision-lang…
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation
Jiayi Lin, Jiabo Huang, Jian Hu +1
Visual-textual correlations in the attention maps derived from text-to-image diffusion models are proven beneficial to dense visual prediction tasks, e.g., semantic segmentation. H…
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
Jian Hu, Jiayi Lin, Junchi Yan +1
Promptable segmentation typically requires instance-specific manual prompts to guide the segmentation of each desired object. To minimize such a need, task-generic promptable segme…
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects
Jian Hu, Jiayi Lin, Weitong Cai +1
Camouflaged object detection (COD) approaches heavily rely on pixel-level annotated datasets. Weakly-supervised COD (WSCOD) approaches use sparse annotations like scribbles or poin…