… visual knowledge about the visible structures. In this work, we show that predicting certain masked … A simple framework for contrastive learning of visualrepresentations. In ICML, 2020. …
… to learn good representations for action recognition [49… , we apply maskedvisual modeling for video prediction, and … line of work is leveraging good visualrepresentations learnt via self …
… speech, which masks multi-stream video input and predicts … AV-HuBERT learns powerful audio-visual speech representation … Using our audio-visualrepresentation on the same …
… are randomly masked, and the objective is to predict the original information of the masked … In order to avoid masking the tokens of crucial region, we propose a masked token strategy …
… prediction task for the autoencoder. Specifically, we separately update visualrepresentations … masking and reward prediction, and (ii) learning the latent dynamics model that predicts …
… limits of large scale MIM pre-training via masked image-text aligned feature prediction [43… maskedvisualrepresentation learning. We show simple masked feature modeling as a visual …
… Compared to MLM, we propose to predictmasked tokens in a caption by using the visual information computed by \(\phi \). This way, we learn visualrepresentations that should be …
… of maskedprediction, also known as masked autoencoding, … This task of maskedprediction not only forces the model to … the combination of maskedprediction and transformer sequence …
Z Xie, Z Zhang, Y Cao, Y Lin, J Bao… - Proceedings of the …, 2022 - openaccess.thecvf.com
… language modeling as a pretext task for self-supervised visualrepresentation learning. … representations learnt by a masked prediction task (our approach), and a joint maskedprediction …