1 citations · 1 across the 2 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024
OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing
Pranav Gupta, Rishubh Singh, Pradeep Shenoy +1
Multi-object multi-part scene segmentation is a challenging task whose complexity scales exponentially with part granularity and number of scene objects. To address the task, we pr…
cs.CV2022★ 1 cited
FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing
Rishubh Singh, Pranav Gupta, Pradeep Shenoy +1
Multi-object multi-part scene parsing is a challenging task which requires detecting multiple object classes in a scene and segmenting the semantic parts within each object. In thi…