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Found 4 papers, 3 papers with code
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
GPT4V, the best-performing VLM, achieves 62. 99% accuracy (4-shot) on the comprehension task and 49. 7% on the localization task (4-shot and Chain-of-Thought).
Ranked #1 on
Object Localization
on IllusionVQA
Connecting the Dots: Leveraging Spatio-Temporal Graph Neural Networks for Accurate Bangla Sign Language Recognition
Recent advances in Deep Learning and Computer Vision have been successfully leveraged to serve marginalized communities in various contexts.
Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks
The widespread use of Text-to-Image (T2I) models in content generation requires careful examination of their safety, including their robustness to adversarial attacks.
BanglaCoNER: Towards Robust Bangla Complex Named Entity Recognition
Named Entity Recognition (NER) is a fundamental task in natural language processing that involves identifying and classifying named entities in text.
