1 citations · 2 across the 5 of their papers we have counts for
5 papers
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation
Daehan Kim, Minseok Seo, YoungJin Jeon +1
The Visual Domain Adaptation(VisDA) 2022 Challenge calls for an unsupervised domain adaptive model in semantic segmentation tasks for industrial waste sorting. In this paper, we in…
Bag of Tricks for Domain Adaptive Multi-Object Tracking
Minseok Seo, Jeongwon Ryu, Kwangjin Yoon
In this paper, SIA_Track is presented which is developed by a research team from SI Analytics. The proposed method was built from pre-existing detector and tracker under the tracki…
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation
Daehan Kim, Minseok Seo, Jinsun Park +1
In this paper, we introduce source domain subset sampling (SDSS) as a new perspective of semi-supervised domain adaptation. We propose domain adaptation by sampling and exploiting…
Unsupervised Change Detection Based on Image Reconstruction Loss
Hyeoncheol Noh, Jingi Ju, Minseok Seo +2
To train the change detector, bi-temporal images taken at different times in the same area are used. However, collecting labeled bi-temporal images is expensive and time consuming.…
Sequential Feature Filtering Classifier
Minseok Seo, Jaemin Lee, Jongchan Park +1
We propose Sequential Feature Filtering Classifier (FFC), a simple but effective classifier for convolutional neural networks (CNNs). With sequential LayerNorm and ReLU, FFC zeroes…