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Found 4 papers, 4 papers with code
Towards Building Text-To-Speech Systems for the Next Billion Users
We open-source all models on the Bhashini platform.
Ranked #1 on
Speech Synthesis - Rajasthani
on IndicTTS
Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features
A simple classifier based on the FIM representation is able to achieve state-of-the-art performance on the Hateful Memes Challenge (HMC) dataset with an AUROC of 85. 8, which even surpasses the human performance of 82. 65.
Ranked #1 on
Meme Classification
on Tamil Memes
An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers
However, the CNN feature maps still maintain the spatial relationship and we utilize this property to design self-supervised learning approaches to train the encoder of object detection transformers in pretraining and multi-task learning settings.
MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages
These models are pre-trained in a self-supervised fashion with a large English text corpus and further fine-tuned with a massive English QA dataset (e. g., SQuAD).
