What is recorded here?
Introduced inverted residuals and linear bottlenecks for mobile vision networks, with reported classification, detection and segmentation trade-offs.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
MobileNetV2 is a distinct successor to MobileNet; the paper's device-efficiency comparisons are setup-specific.
Read the original work
- Sandler and colleagues: MobileNetV2 inverted residual blocks — original paper
- Sandler and colleagues: MobileNetV2 inverted residual blocks — official company source
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Mark Sandler; Andrew Howard; Menglong Zhu; Andrey Zhmoginov; Liang-Chieh Chen
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
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English catalogue narrative
Sandler and colleagues: MobileNetV2 inverted residual blocks
Introduced inverted residuals and linear bottlenecks for mobile vision networks, with reported classification, detection and segmentation trade-offs.
Scientific scope
MobileNetV2 is a distinct successor to MobileNet; the paper's device-efficiency comparisons are setup-specific.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Mark Sandler; Andrew Howard; Menglong Zhu; Andrey Zhmoginov; Liang-Chieh Chen
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.