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Its line of work

On DET-test-challenge dataset, the AP result of TPH-YOLOv5 are 39.18%, which is better than previous SOTA method (DPNetV3) by 1.81%.

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 DET-test-challenge dataset, the AP result of TPH-YOLOv5 are 39.18%, which is better than previous SOTA method (DPNet… takes its method from Because CBAM is a lightweight and general module, it can be integrated into any CNN architectures seamlessly with negli… (identified in the literature)Because CBAM is a lightweight and general module, it can be integrated into any CNN architectures seamlessly with negli…: unchecked, credence 0.55, stakes 10.0, reliance 2.0Because CBAM is a…On DET-test-challenge dataset, the AP result of TPH-YOLOv5 are 39.18%, which is better than previous SOTA method (DPNet…: unchecked, credence 0.55, stakes 11.2On DET-test-challenge…

● 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 11.2 the claim it is drawn around

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Every claim drawn, as a table
ClaimStatusCheckableCredenceUseStakesRests on
Because CBAM is a lightweight and general module, it can be integrated into any CNN architectures seamlessly with negli…○ uncheckedyes0.55010.0—
On DET-test-challenge dataset, the AP result of TPH-YOLOv5 are 39.18%, which is better than previous SOTA method (DPNet…○ uncheckedyes0.55011.2Because CBAM is a lightweight and general module, it can be integrated into any CNN architectures seamlessly with negli…

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

Step by step

WhereStatusClaimCredence
1 step belowuncheckedBecause CBAM is a lightweight and general module, it can be integrated into any CNN architectures seamlessly with negligible overheads and is end-to-end traina…this claim takes its method from it, as the citing paper says · human literature · ext:58a1154dfbde913c0.55
this claimuncheckedOn DET-test-challenge dataset, the AP result of TPH-YOLOv5 are 39.18%, which is better than previous SOTA method (DPNetV3) by 1.81%.human literature · ext:85b1d895456d61070.55

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