OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentationby Baran Ozaydin, Tong Zhang,…
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understandingby Zi-Ting Chou, Sheng-Yu Huang,…
Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labelsby Zhuohong…
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopyby Bashir Kazimi, Karina Ruzaeva, Stefan SandfeldFirst…
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentationby Haoyu Xie, Changqi Wang, Jian Zhao,…
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote…
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimationby Steven Landgraf, Markus Hillemann,…
Selective Prediction for Semantic Segmentation using Post-Hoc Confidence Estimation and Its Performance under Distribution Shiftby…
Is Continual Learning Ready for Real-world Challenges?by Theodora Kontogianni, Yuanwen Yue, Siyu Tang, Konrad SchindlerFirst…
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentationby Nico Catalano,…