4 papers
Free-Grained Hierarchical Visual Recognition
Seulki Park, Zilin Wang, Stella X. Yu
Hierarchical image recognition seeks to predict class labels along a semantic taxonomy, from broad categories to specific ones, typically under the tidy assumption that every train…
Vision Harnessing Agent for Open Ad-hoc Segmentation
Zilin Wang, Stella X. Yu
Segmentation has become easy when the concept is known, requiring retrieval of a learned visual grounding from text. It remains hard for open ad-hoc concepts, where the grounding m…
Open Ad-hoc Categorization with Contextualized Feature Learning
Zilin Wang, Sangwoo Mo, Stella X. Yu +2
Adaptive categorization of visual scenes is essential for AI agents to handle changing tasks. Unlike fixed common categories for plants or animals, ad-hoc categories are created dy…
Visually Consistent Hierarchical Image Classification
Seulki Park, Youren Zhang, Stella X. Yu +2
Hierarchical classification predicts labels across multiple levels of a taxonomy, e.g., from coarse-level 'Bird' to mid-level 'Hummingbird' to fine-level 'Green hermit', allowing f…