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%20detection%20frameworks%20has%20become%20a%20challenging%20problem.%20In%20this%20paper%2C%20we%20propose%20a%20new%20AU%20detection%20framework%20where%20multi-task%20learning%20is%20introduced%20to%20jointly%20learn%20AU%20domain%20separation%20and%20reconstruction%20and%20facial%20landmark%20detection%20by%20sharing%20the%20parameters%20of%20homostructural%20facial%20extraction%20modules.%20In%20addition%2C%20we%20propose%20a%20new%20feature%20alignment%20scheme%20based%20on%20contrastive%20learning%20by%20simple%20projectors%20and%20an%20improved%20contrastive%20loss%2C%20which%20adds%20four%20additional%20intermediate%20supervisors%20to%20promote%20the%20feature%20reconstruction%20process.%20Experimental%20results%20on%20two%20benchmarks%20demonstrate%20our%20superiority%20against%20the%20state-of-the-art%20methods%20for%20AU%20detection%20in%20the%20wild.)
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