3 papers
cs.CV2024
OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation
Baran Ozaydin, Tong Zhang, Deblina Bhattacharjee +2
Unsupervised Semantic Segmentation (USS) involves segmenting images without relying on predefined labels, aiming to alleviate the burden of extensive human labeling. Existing metho…
cs.CV2023
Vision Transformer Adapters for Generalizable Multitask Learning
Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
We introduce the first multitasking vision transformer adapters that learn generalizable task affinities which can be applied to novel tasks and domains. Integrated into an off-the…
cs.CV2023
Dense Multitask Learning to Reconfigure Comics
Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
In this paper, we develop a MultiTask Learning (MTL) model to achieve dense predictions for comics panels to, in turn, facilitate the transfer of comics from one publication channe…