research
∙
06/22/2023
1st Place Solution to MultiEarth 2023 Challenge on Multimodal SAR-to-EO Image Translation
The Multimodal Learning for Earth and Environment Workshop (MultiEarth 2...
share
research
∙
03/26/2023
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
Label-efficient and reliable semantic segmentation is essential for many...
research
∙
03/21/2023
CAFS: Class Adaptive Framework for Semi-Supervised Semantic Segmentation
Semi-supervised semantic segmentation learns a model for classifying pix...
research
∙
03/17/2023
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
Mixup provides interpolated training samples and allows the model to obt...
research
∙
11/26/2022
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation
The Visual Domain Adaptation(VisDA) 2022 Challenge calls for an unsuperv...
research
∙
04/30/2022
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation
In this paper, we introduce source domain subset sampling (SDSS) as a ne...
research
∙
04/04/2022
Unsupervised Change Detection Based on Image Reconstruction Loss
To train the change detector, bi-temporal images taken at different time...
research
∙
01/19/2022
Using Self-Supervised Pretext Tasks for Active Learning
Labeling a large set of data is expensive. Active learning aims to tackl...
research
∙
08/10/2021
Exploiting Features with Split-and-Share Module
Deep convolutional neural networks (CNNs) have shown state-of-the-art pe...
research
∙
06/21/2020
Sequential Feature Filtering Classifier
We propose Sequential Feature Filtering Classifier (FFC), a simple but e...
research
∙
08/24/2017