Research map / Detection and segmentation / Open-set and few-shot detection
Rotating Features for Object Discovery
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Cycle Consistency Driven Object Discovery (ICLR 2024 · similarity 0.85)
- Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery (NeurIPS 2024 · similarity 0.85)
- Neural Concept Binder (NeurIPS 2024 · similarity 0.85)
- A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning (CVPR 2025 · similarity 0.85)
- Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers? (NeurIPS 2025 · similarity 0.85)
- Learning to Compose: Improving Object Centric Learning by Injecting Compositionality (ICLR 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.