GitHub

AAAI-23 Lab for Innovative Uses of Synthetic Data

Welcome to the AAAI-23 Lab for Innovative Uses of Synthetic Data! In this repository you will find materials required to complete the Lab. The Lab will start on Wednesday, 8 February 2023, 14:00 EST.
IEEE

Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning

Abstract: In recent years, visual-based sign language recognition (SLR) has become an active research area with the advancement of deep learning. However, it is difficult to collect sign language data ...
IEEE

TinyVLA: Toward Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation

Vision-Language-Action (VLA) models have shown remarkable potential in visuomotor control and instruction comprehension through end-to-end learning processes. However, current VLA models face ...
GitHub

This is the official implementation of ICLR 2024 paper "VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models".

We find a commonality of various dirty samples is visual-linguistic inconsistency between images and associated labels. To capture the semantic inconsistency between modalities, we propose versatile ...