few-shot segmentation

Learning What Not To Segment: A New Perspective on Few-Shot Segmentation CVPR 2022 Mask Matching Transformer for Few-Shot Segmentation NeurIPS 2022 Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning NeurIPS 2022 Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021 Few-Shot Segmentation via Cycle-Consistent Transformer NeurIPS 2021 Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021 Mining Latent Classes for Few-Shot Segmentation ICCV 2021 Self-Guided and Cross-Guided Learning for Few-Shot Segmentation CVPR 2021 CRNet: Cross-Reference Networks for Few-Shot Segmentation CVPR 2020 FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation CVPR 2020 Self-Supervised Tuning for Few-Shot Segmentation IJCAI 2020 Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings IJCAI 2020 CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning CVPR 2019 Feature Weighting and Boosting for Few-Shot Segmentation ICCV 2019 PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment ICCV 2019