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cs.CV2026
Evolving Cache Schedules for Fast Diffusion Policy Inference
Siying Wang, Kangye Ji, Di Wang +1
Diffusion policies achieve strong visuomotor control by iteratively denoising action chunks, but repeated denoising makes real-time deployment computationally demanding. Cache-base…
cs.CV2026
Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement
Kangye Ji, Fei Cheng, Zeqing Wang +2
Sample selection is a straightforward technique to combat noisy labels, aiming to prevent mislabeled samples from degrading the robustness of neural networks. However, existing met…
cs.CV2025
SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency
Zeqing Wang, Kangye Ji, Di Wang +2
Segment Anything Model (SAM) struggles in open-world scenarios with diverse domains. In such settings, naive fine-tuning with a well-designed learning module is inadequate and ofte…