Research map / Video / Video segmentation and tracking
Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence
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
- Temporally Consistent Object-Centric Learning by Contrasting Slots (CVPR 2025 · similarity 0.92)
- DynaProto: Dynamic Prototypical Contrast for Temporally Consistent Object-Centric Learning (NeurIPS 2026 · similarity 0.91)
- Learning Correspondence From the Cycle-Consistency of Time (CVPR 2019 · similarity 0.89)
- Grounded Object-Centric Learning (ICLR 2024 · similarity 0.87)
- TTVidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining (NeurIPS 2026 · similarity 0.86)
- Cycle Consistency Driven Object Discovery (ICLR 2024 · similarity 0.86)
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.