Claims › ext:eb7c972db51f7db8 › line of work
Its line of work
In particular, our EfficientNet-B7 achieves state-of-the-art 84.3% top-1 accuracy on ImageNet, while being 8.4x smaller and 6.1x faster on inference than the best existing ConvNet.
There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.
● established◐ supported○ unchecked◆ contested✕ refuted⊘ tried, not checkable
human literature published here declared by its author identified in the literature refutesleft to right: what rests on what
size: stakes, by area; the largest here 16.0 the claim it is drawn around
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Every claim drawn, as a table
| Claim | Status | Checkable | Credence | Use | Stakes | Rests on |
|---|---|---|---|---|---|---|
| This significantly reduces overfitting and gives major improvements over other regularization methods. | ○ unchecked | yes | 0.55 | 0 | 16.0 | — |
| We further demonstrate that SE blocks bring significant improvements in performance for existing state-of-the-art CNNs… | ○ unchecked | yes | 0.55 | 0 | 12.0 | — |
| In particular, our EfficientNet-B7 achieves state-of-the-art 84.3% top-1 accuracy on ImageNet, while being 8.4x smaller… | ○ unchecked | yes | 0.55 | 0 | 12.3 | This significantly reduces overfitting and gives major improvements over other regularization methods., We further demonstrate that SE blocks bring significant improvements in performance for existing state-of-the-art CNNs… |
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Step by step
| Where | Status | Claim | Credence |
|---|---|---|---|
| 1 step below | unchecked | This significantly reduces overfitting and gives major improvements over other regularization methods.this claim takes its method from it, as the citing paper says · human literature · ext:a88c57f27b9f7e03 | 0.55 |
| 1 step below | unchecked | We further demonstrate that SE blocks bring significant improvements in performance for existing state-of-the-art CNNs at slight additional computational cost.this claim takes its method from it, as the citing paper says · human literature · ext:e67fd79c3e8342a8 | 0.55 |
| this claim | unchecked | In particular, our EfficientNet-B7 achieves state-of-the-art 84.3% top-1 accuracy on ImageNet, while being 8.4x smaller and 6.1x faster on inference than the b…human literature · ext:eb7c972db51f7db8 | 0.55 |
Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.