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This report presents the technical details of our submission to theEPIC-Kitchens-100 Action Recognition Challenge 2021. To participate in thechallenge we deployed spatio-temporal feature extraction and aggregation modelswe have developed recently: GSF and XViT. GSF is an efficient spatio-temporalfeature extracting module that can be plugged into 2D CNNs for video actionrecognition. XViT is a convolution free video feature extractor based ontransformer architecture. We design an ensemble of GSF and XViT model familieswith different backbones and pretraining to generate the prediction scores. Oursubmission, visible on the public leaderboard, achieved a top-1 actionrecognition accuracy of 44.82%, using only RGB.

SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021