Few-shot Learning2 [논문리뷰]Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model Paper OverviewCVPR'25https://arxiv.org/abs/2503.16282 Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language ModelGeneralized few-shot 3D point cloud segmentation (GFS-PCS) adapts models to new classes with few support samples while retaining base class segmentation. Existing GFS-PCS methods enhance prototypes via interacting with support or query features but remainarxiv.org Abst.. 2025. 5. 2. Frustratingly Simple Few-shot Object Detection 리뷰 정보나 추세를 찾기 위해 논문의 실험은 빠뜨리고 읽었는데 밑빠진 독에 물만 한 1년치 부었던 것 같다.ㅋㅋ 논문의 실험을 직접 할 거 아니면 무조건 실험 파트를 읽고 insight를 얻는게 좋을것 같다. ICML'20 https://arxiv.org/abs/2003.06957 Frustratingly Simple Few-Shot Object Detection Detecting rare objects from a few examples is an emerging problem. Prior works show meta-learning is a promising approach. But, fine-tuning techniques have drawn scant attention. We find that fine.. 2023. 4. 5. 이전 1 다음
