Көпмодальды трансформерлер

method ID: multimodaltransformers

Related Papers

Multimodal Phased Transformer for Sentiment Analysis

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractMultimodal Transformers achieve superior performance in multimodal learning tasks. However, the quadratic complexity of the self-attention mechanism in Transformers limits their deployment in low-resource devices and makes their inference and …...

31910

Word Representation Learning in Multimodal Pre-Trained Transformers: An Intrinsic Evaluation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThis study carries out a systematic intrinsic evaluation of the semantic representations learned by state-of-the-art pre-trained multimodal Transformers. These representations are claimed to be task-agnostic and shown to help on …...

26686

IIITH at SemEval-2022 Task 5: A comparative study of deep learning models for identifying misogynous memes

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper provides a comparison of different deep learning methods for identifying misogynous memes for SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification. In this task, we experiment with architectures in …...

25081

TeamOtter at SemEval-2022 Task 5: Detecting Misogynistic Content in Multimodal Memes

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWe describe our system for the SemEval 2022 task on detecting misogynous content in memes. This is a pressing problem and we explore various methods ranging from traditional machine learning …...

25086

Visio-Linguistic Brain Encoding

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractBrain encoding aims at reconstructing fMRI brain activity given a stimulus. There exists a plethora of neural encoding models which study brain encoding for single mode stimuli: visual (pretrained CNNs) …...

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