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----
-version: 1.0
-created: 2025-10-16
-status: draft
-related_adr: null
----
-
-# 003: Temporal Mask Denoise
-
-## Purpose
-Remove transient detections lasting fewer than `min_duration` frames to stabilize segmentation masks.
-
-## Inputs
-| Name | Type | Required | Default | Description |
-|------|------|-----------|----------|-------------|
-| mask_batch | MASK | Yes | — | Input temporal mask sequence |
-| min_duration | INT | No | 3 | Minimum allowed activation duration |
-| mode | STRING | No | "strict" | Filtering mode ("strict"/"loose") |
-| edge_behavior | STRING | No | "keep" | Behavior for start/end frames |
-| debug_output | BOOL | No | False | Optional visualization mask |
-
-## Outputs
-| Name | Type | Description |
-|------|------|-------------|
-| mask_batch_out | MASK | Denoised temporal mask sequence |
-
-## Processing Logic
-1. Identify contiguous active segments.  
-2. If segment length < `min_duration`, remove or weaken per `mode`.  
-3. Handle boundaries per `edge_behavior`.  
-4. Return cleaned mask sequence.
-
-## Dependencies
-- **Internal**: None  
-- **External**: `torch`  
-- **Optional**: `Temporal Mask Fill Gaps` (for pre-smoothed input)  
-
-## Test Cases
-### TC-001: Short burst removal
-min_duration=3 → 1-frame activations removed  
-### TC-002: Edge retention
-edge_behavior="keep" → retain start/end frames  
-### TC-003: Loose mode
-mode="loose" → fewer removals  
-
-## Validation Checklist
-- [ ] Schema V3 compliant  
-- [ ] Edge handling correct  
-- [ ] No unsafe imports  
-- [ ] GPU support verified  
-- [ ] Unit test in `tests/nodes/test_denoise.py`  
-- [ ] ADR entry exists