About: covid:arg/d4953e2a564f68bc7eccd8d1af12da3c2c5bbf7c/2

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About: covid:arg/d4953e2a564f68bc7eccd8d1af12da3c2c5bbf7c/2 Goto Sponge NotDistinct Permalink

An Entity of Type : amo:Evidence, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	sioca:Justification aif:I-node evidence
wasQuotedFrom	SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras
sioca:supports	covid:arg/d4953e2a564f68bc7eccd8d1af12da3c2c5bbf7c/1
aif:formDescription	The best performance is achieved for a frame size of 224 × 224 yielding an F1 score and accuracy of 90 . 176 % and 90 . 799 % which outperforms the state - of - the - art Inflated 3D ConvNet ( I3D ) [ 1 ] method by an absolute margin of 4 . 529 % and 2 . 419 % , respectively .
proves	covid:arg/d4953e2a564f68bc7eccd8d1af12da3c2c5bbf7c/1
is hasSource of	nodeID://b56171596 nodeID://b56189292 nodeID://b56345120 nodeID://b56734500 nodeID://b57385024 nodeID://b57813488
is has evidence of	covid:arg/d4953e2a564f68bc7eccd8d1af12da3c2c5bbf7c

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