Perceiver: General Perception with Iterative Attention

Benchmark Model Rank Results
audio-tagging-on-audiosetPerceiver (mel spectrogram + video - tuned)#15mean average precision: 0.440
audio-classification-on-audiosetPerceiver#34Test mAP: 0.449
3d-point-cloud-classification-on-modelnet40Perceiver#107Mean Accuracy: 14.3
image-classification-on-imagenetPerceiver (FF)#893Top 1 Accuracy: 78%Number of params: 44.9MGFLOPs: 707.2
image-classification-on-imagenetPerceiver#954Top 1 Accuracy: 76.4%