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Being unconscious and spontaneous, micro-expressions are useful in the inference of a person's true emotions even if an attempt is made to conceal them. Due to their short duration and low intensity, the recognition of micro-expressions is a difficult task in affective computing. The early work based on handcrafted spatio-temporal features which sh...
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... encoder contains L T transformer layers; herein we use L T = 12, adopting this value from the ViT-Base model of Dosovitskiy et al. [27] (the pre-trained encoder we use in experiments). Each layer involves two blocks, a Multi-head Self-attention Mechanism (MSM) and a Position-wise Fully connected Feed-Forward Network (FFN), as shown in Fig. 6. Layer Normalisation (LN) is applied before each block and residual connections after each block [50], [51]. The output of the transformer layer can be written as ...
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Being spontaneous, micro-expressions are useful in the inference of a person's true emotions even if an attempt is made to conceal them. Due to their short duration and low intensity, the recognition of micro-expressions is a difficult task in affective computing. The early work based on handcrafted spatio-temporal features which showed some promis...
