Sign In
insight - Few-Shot Panoptic Segmentation
Few-Shot Panoptic Segmentation With Foundation Models: A Breakthrough Approach
The author proposes SPINO, leveraging unsupervised foundation models for few-shot panoptic segmentation, demonstrating competitive results with minimal annotated images.
Few-Shot Panoptic Segmentation With Foundation Models: SPINO Approach
SPINO ermöglicht die Panoptik-Segmentierung mit nur wenigen Referenzannotationen und zeigt Wettbewerbsfähigkeit gegenüber vollständig überwachten Methoden.
Products | Resources
Read more
- a-unified-framework-for-adaptive-representation-enhancement-and-inversed-learning-in-cross-domain-recommendation
- 연합학습-기반-iot-시스템의-데이터-비동질성-문제-해결을-위한-반분산-연합학습-알고리즘-fedsr
- ein-semi-dezentralisierter-föderierter-lernalgorithmus-zur-bewältigung-von-nicht-iidheit-in-iot-systemen
- generalizable-3d-object-reconstruction-from-single-rgb-d-images-using-implicit-field-learning-with-point-diffusion
- 대형-언어-모델의-간접적인-프롬프트-주입-공격으로부터-스포트라이팅을-통한-방어
- verteidigung-gegen-indirekte-prompt-injektions-angriffe-mit-spotlighting
- efficient-workload-balanced-push-relabel-algorithm-for-massive-graphs-on-gpus
- ai-생성-텍스트에-대한-색상-인식-대체를-통한-워터마크-우회
© 2024 by Linnk AI