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Its line of work

Our network outperforms ESPNet by 4-5% and has 2-4x fewer FLOPs on the PASCAL VOC and the Cityscapes dataset.

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.

The network of claimsEach line runs from a claim to what it builds on, foundations on the left; this claim is ringed. Human literature enters as registered claims (squares).
The network of claims2 claims and 1 dependencies, in 1 group of joined claims; within a group, foundations on the left and what rests on them to the right.2 claims, 1 step deep, Computer ScienceOur network outperforms ESPNet by 4-5% and has 2-4x fewer FLOPs on the PASCAL VOC and the Cityscapes dataset. takes its method from The new architecture utilizes two new operations, pointwise group convolution and channel shuffle, to greatly reduce co… (identified in the literature)Our network outperforms ESPNet by 4-5% and has 2-4x fewer FLOPs on the PASCAL VOC and the Cityscapes dataset.: unchecked, credence 0.55, stakes 9.1Our network…The new architecture utilizes two new operations, pointwise group convolution and channel shuffle, to greatly reduce co…: unchecked, credence 0.55, stakes 11.4, reliance 2.0The new architecture…

● 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 11.4 the claim it is drawn around

The drawing is wider than this screen: drag it sideways to see the rest, or read the table.

Every claim drawn, as a table
ClaimStatusCheckableCredenceUseStakesRests on
Our network outperforms ESPNet by 4-5% and has 2-4x fewer FLOPs on the PASCAL VOC and the Cityscapes dataset.○ uncheckedyes0.5509.1The new architecture utilizes two new operations, pointwise group convolution and channel shuffle, to greatly reduce co…
The new architecture utilizes two new operations, pointwise group convolution and channel shuffle, to greatly reduce co…○ uncheckedyes0.55011.4—

See its whole group in the network, where it can be filtered and sized.

Step by step

WhereStatusClaimCredence
1 step belowuncheckedThe new architecture utilizes two new operations, pointwise group convolution and channel shuffle, to greatly reduce computation cost while maintaining accurac…this claim takes its method from it, as the citing paper says · human literature · ext:5bc4ae9d9c4a08e00.55
this claimuncheckedOur network outperforms ESPNet by 4-5% and has 2-4x fewer FLOPs on the PASCAL VOC and the Cityscapes dataset.human literature · ext:137062945fd40bdf0.55

Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.