10 citations · 44 across the 27 of their papers we have counts for
5 papers · 1 filter
HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation
Shubhankar Borse, Hong Cai, Yizhe Zhang +1
While deeply supervised networks are common in recent literature, they typically impose the same learning objective on all transitional layers despite their varying representation…
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation
Hong Cai, Janarbek Matai, Shubhankar Borse +3
In this paper, we propose a novel method, X-Distill, to improve the self-supervised training of monocular depth via cross-task knowledge distillation from semantic segmentation to…
Perceptual Consistency in Video Segmentation
Yizhe Zhang, Shubhankar Borse, Hong Cai +4
In this paper, we present a novel perceptual consistency perspective on video semantic segmentation, which can capture both temporal consistency and pixel-wise correctness. Given t…
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
Yizhe Zhang, Shubhankar Borse, Hong Cai +1
In video segmentation, generating temporally consistent results across frames is as important as achieving frame-wise accuracy. Existing methods rely either on optical flow regular…
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
Shubhankar Borse, Ying Wang, Yizhe Zhang +1
We present a novel boundary-aware loss term for semantic segmentation using an inverse-transformation network, which efficiently learns the degree of parametric transformations bet…