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Its line of work

On the COCO dataset, our single model performance is 45.7% and an ensemble of 3 networks obtains an mAP of 48.3%.

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 ScienceOn the COCO dataset, our single model performance is 45.7% and an ensemble of 3 networks obtains an mAP of 48.3%. takes its method from Extensive experiments validate the effectiveness of our approach on sophisticated vision tasks of object detection and… (identified in the literature)Extensive experiments validate the effectiveness of our approach on sophisticated vision tasks of object detection and…: unchecked, credence 0.55, stakes 13.8, reliance 1.0Extensive experiments…On the COCO dataset, our single model performance is 45.7% and an ensemble of 3 networks obtains an mAP of 48.3%.: unchecked, credence 0.55, stakes 3.5On the COCO dataset…

● 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 13.8 the claim it is drawn around

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Every claim drawn, as a table
ClaimStatusCheckableCredenceUseStakesRests on
Extensive experiments validate the effectiveness of our approach on sophisticated vision tasks of object detection and…○ uncheckedyes0.55013.8—
On the COCO dataset, our single model performance is 45.7% and an ensemble of 3 networks obtains an mAP of 48.3%.○ uncheckedyes0.5503.5Extensive experiments validate the effectiveness of our approach on sophisticated vision tasks of object detection and…

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Step by step

WhereStatusClaimCredence
1 step belowuncheckedExtensive experiments validate the effectiveness of our approach on sophisticated vision tasks of object detection and semantic segmentation.this claim takes its method from it, as the citing paper says · human literature · ext:5a6d2d261f2c25bf0.55
this claimuncheckedOn the COCO dataset, our single model performance is 45.7% and an ensemble of 3 networks obtains an mAP of 48.3%.human literature · ext:9eefe3b8d6c71e440.55

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