SPACE: Sparse Predictive Attractor via Counterfactual Eviction for Streaming Video Memory

arXiv:2609.32592 · cs.CV · Submitted 2026-09-26 · Read on arXiv

cs.CV

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/GilliaN-HJ/SPACE

Terminology

• AUC — 10× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Adaptation — 7× in this paper · explained in 1 episode
• Admissibility — 5× in this paper · explained in 2 episodes
• Aggregation — 5× in this paper · explained in 1 episode
• Cosine Similarity — 5× in this paper · explained in 3 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Continual Learning — 4× in this paper · explained in 2 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Action Decoder — 3× in this paper · explained in 1 episode
• Redundancy — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Predictive Coding — 2× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• KV cache — 1× in this paper · explained in 3 episodes
• Post-Selection — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

• ObjectStream: Latent Objects as Memory Anchors for Streaming Video Understanding
• Think in Sets for Streaming Video Token Compression
• What Should a Streaming Video Model Remember?
• Representation Learning with Contrastive Predictive Coding
• Hopfield Networks is All You Need
• OmniMem: Perturbation-aware Memory Compression for Streaming Audio-Visual LLMs
• DIM-WAM: World-Action Modeling with Diverse Historical Event Memory

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