11 citations · 12 across the 3 of their papers we have counts for
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cs.CV2023
Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels
Federica Spinola, Philipp Benz, Minhyeong Yu +1
In real-world scenarios we often need to perform multiple tasks simultaneously. Multi-Task Learning (MTL) is an adequate method to do so, but usually requires datasets labeled for…
cs.CV2019★ 11 cited
Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models
Tae-hoon Kim, Dongmin Kang, Kari Pulli +1
High-performance visual recognition systems generally require a large collection of labeled images to train. The expensive data curation can be an obstacle for improving recognitio…