Abstract: Skeleton-based Temporal Action Segmentation (STAS) aims to densely parse untrimmed skeletal sequences into frame-level action categories. However, existing methods, while proficient at ...
Abstract: Open-vocabulary (OV) semantic segmentation enables models to recognize and segment objects from arbitrary natural language descriptions, offering the flexibility to handle novel, ...
PHASE A: Context Assembly → PHASE B: Quality Gate → PHASE C: GNI-First DAG ↓ PHASE E: ARIA Audit + Self-Improvement ← PHASE D: Multi-Agent Execution ...
Abstract: Domain-adaptive remote sensing image (RSI) semantic segmentation mitigates the overfitting problem that affects the effectiveness of segmentation, which results from the scarcity of ...
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