paper-with-me

Papers Semi-Supervised RGBD Semantic Segmentation

“Semi-Supervised RGBD Semantic Segmentation” 태그가 달린 논문 2편 · 필터 해제

Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation

2023-04-21 · Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira

Using multiple spatial modalities has been proven helpful in improving semantic segmentation performance. However, there are several real-world challenges that have yet to be addressed: (a) improving label efficiency and…

RGBD Semantic SegmentationRobust Semi-Supervised RGBD Semantic SegmentationSegmentationSemantic Segmentation+2

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

2017-03-06 · NeurIPS 2017 12 · Antti Tarvainen, Harri Valpola

The recently proposed Temporal Ensembling has achieved state-of-the-art results in several semi-supervised learning benchmarks. It maintains an exponential moving average of label predictions on each training example, an…

Semi-Supervised Image ClassificationSemi-Supervised RGBD Semantic SegmentationSemi-Supervised Semantic SegmentationSource Free Object Detection
1–2 / 2