Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos

Documenti analoghi

• Rethinking Image-to-Video Adaptation: An Object-centric Perspective
  di: Qian, Rui, et al.
  Pubblicazione: (2024)
• Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation
  di: Ding, Shuangrui, et al.
  Pubblicazione: (2023)
• Streaming Long Video Understanding with Large Language Models
  di: Qian, Rui, et al.
  Pubblicazione: (2024)
• Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction
  di: Qian, Rui, et al.
  Pubblicazione: (2025)
• When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning
  di: Liu, Yang, et al.
  Pubblicazione: (2025)