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novel class

23 papers

Papers

SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning CVPR 2026 DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation CVPR 2025 UniBuc at SemEval-2025 Task 9: Similarity Approaches to Classification SemEval 2025 Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement AAAI 2024 A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation NeurIPS 2024 Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection AAAI 2024 ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection AAAI 2024 Scaling Few-Shot Learning for the Open World AAAI 2024 Adjustment and Alignment for Unbiased Open Set Domain Adaptation CVPR 2023 Better Generalized Few-Shot Learning Even without Base Data AAAI 2023 Boosting Few-Shot Text Classification via Distribution Estimation AAAI 2023 CORA: Adapting CLIP for Open-Vocabulary Detection With Region Prompting and Anchor Pre-Matching CVPR 2023 SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning AAAI 2023 Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation NeurIPS 2022 Generalized Few-Shot Semantic Segmentation CVPR 2022 Masked Feature Generation Network for Few-Shot Learning IJCAI 2022 Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation CVPR 2021 Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection CVPR 2021 Incremental Few-Shot Instance Segmentation CVPR 2021 CRNet: Cross-Reference Networks for Few-Shot Segmentation CVPR 2020 Investigating the effect of novel classes in semi-supervised learning ACML 2019 Scaling Object Detection by Transferring Classification Weights ICCV 2019 Zero-shot Learning with Semantic Output Codes NeurIPS 2009