Computer vision and multimodal learning · MLD-0813
Non-maximum suppression
A procedure that removes redundant overlapping detections, typically keeping higher-scoring candidates.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Suppress multiple boxes for the same object.
Original caveat
Aggressive suppression can remove genuinely overlapping objects.
Context and aliases
Level: Intermediate. Stages: Architecture · Training · Inference.
Tags: DL · Vision · Multimodal.
Aliases: NMS.
Related concepts
Concepts linking here
Original references
- Learning Transferable Visual Models From Natural Language Supervision ↗ · Consulted
- Deep Learning: online textbook ↗ · Consulted
- PyTorch neural-network layers ↗ · Reference link
- Original reference URL ↗