What is recorded here?
Jointly optimized training speed and parameter efficiency through architecture search/scaling and adjusted regularization as training resolution increased.
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Scientific scope
Training-aware architecture search selected network designs within a human-defined space; researchers also supplied scaling and progressive-training choices. Inherits EfficientNet, fused mobile convolutions and progressive resizing. Delta is the training-aware integrated design and adaptive regularization, not a model-size version. Relative training gains depend on resolution, hardware, data and baseline.
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People and systems
Mingxing Tan; Quoc V. Le
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EfficientNetV2 training-aware architecture search · Not recorded: research execution is source-reported, not provider-attested · Not applicable: no language-model version identified for this search
Training-aware architecture search selected network designs within a human-defined space; researchers also supplied scaling and progressive-training choices.. Source-reported attribution; provider attestation is unavailable.
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English catalogue narrative
EfficientNetV2: training-aware search and progressive regularization
Jointly optimized training speed and parameter efficiency through architecture search/scaling and adjusted regularization as training resolution increased.
Scientific scope
Training-aware architecture search selected network designs within a human-defined space; researchers also supplied scaling and progressive-training choices. Inherits EfficientNet, fused mobile convolutions and progressive resizing. Delta is the training-aware integrated design and adaptive regularization, not a model-size version. Relative training gains depend on resolution, hardware, data and baseline.
People and systems
Mingxing Tan; Quoc V. Le
EfficientNetV2 training-aware architecture search / Not recorded: research execution is source-reported, not provider-attested / Not applicable: no language-model version identified for this search: Training-aware architecture search selected network designs within a human-defined space; researchers also supplied scaling and progressive-training choices. (source reported).