84 citations · 107 across the 13 of their papers we have counts for
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cs.CV2023★ 1 cited
Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies
Wonhyeok Choi, Sunghoon Im
In this paper, we present a new MTL framework that searches for structures optimized for multiple tasks with diverse graph topologies and shares features among tasks. We design a r…
cs.CV2023★ 1 cited
Offline-to-Online Knowledge Distillation for Video Instance Segmentation
Hojin Kim, Seunghun Lee, Sunghoon Im
In this paper, we present offline-to-online knowledge distillation (OOKD) for video instance segmentation (VIS), which transfers a wealth of video knowledge from an offline model t…
cs.CV2023★ 2 cited
A Study on the Generality of Neural Network Structures for Monocular Depth Estimation
Jinwoo Bae, Kyumin Hwang, Sunghoon Im
Monocular depth estimation has been widely studied, and significant improvements in performance have been recently reported. However, most previous works are evaluated on a few ben…