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Found 12 papers, 3 papers with code
A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision
Labeled data for the task of Coreference Resolution is a scarce resource, requiring significant human effort.
MAViC: Multimodal Active Learning for Video Captioning
Our approach integrates semantic similarity and uncertainty of both visual and language dimensions in the acquisition function.
Multilingual and Multimodal Abuse Detection
In this paper, we attempt abuse detection in conversational audio from a multimodal perspective in a multilingual social media setting.
3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos
We present 3MASSIV, a multilingual, multimodal and multi-aspect, expertly-annotated dataset of diverse short videos extracted from short-video social media platform - Moj.
ADIMA: Abuse Detection In Multilingual Audio
Abusive content detection in spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing.
Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training
We perform extensive semi-supervised experiments on SemEval2018 multilabel and multilingual emotion recognition dataset and show performance gains of 6. 2% (Arabic), 3. 8% (Spanish) and 1. 8% (English) over supervised learning with same amount of labelled data (10% of training data).
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
Existing approaches for unsupervised domain adaptive object detection perform feature alignment via adversarial training.
End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints
Inferring the 6DoF pose of an object from a single RGB image is an important but challenging task, especially under heavy occlusion.
Ranked #8 on
6D Pose Estimation using RGB
on Occlusion LineMOD
Deep Clustering of Text Representations for Supervision-free Probing of Syntax
We explore deep clustering of text representations for unsupervised model interpretation and induction of syntax.
ProtoGAN: Towards Few Shot Learning for Action Recognition
To the best of our knowledge, we are the first to report the results for G-FSL and provide a strong benchmark for future research.
Progression Modelling for Online and Early Gesture Detection
Online and Early detection of gestures is crucial for building touchless gesture based interfaces.
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
We introduce an out-of-distribution detector that determines whether the video features belong to a seen or unseen action category.
Action Recognition In Videos
Out-of-Distribution Detection
+2
