Search Results for author:
Found 6 papers, 3 papers with code
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding
Vision and vision-language applications of neural networks, such as image classification and captioning, rely on large-scale annotated datasets that require non-trivial data-collecting processes.
On the Performance of Multimodal Language Models
Instruction-tuned large language models (LLMs) have demonstrated promising zero-shot generalization capabilities across various downstream tasks.
Fabrik: An Online Collaborative Neural Network Editor
We present Fabrik, an online neural network editor that provides tools to visualize, edit, and share neural networks from within a browser.
NAG: Network for Adversary Generation
Our trained generator network attempts to capture the distribution of adversarial perturbations for a given classifier and readily generates a wide variety of such perturbations.
CNN Fixations: An unraveling approach to visualize the discriminative image regions
We demonstrate through a variety of applications that our approach is able to localize the discriminative image locations across different network architectures, diverse vision tasks and data modalities.
Fast Feature Fool: A data independent approach to universal adversarial perturbations
In this paper, for the first time, we propose a novel data independent approach to generate image agnostic perturbations for a range of CNNs trained for object recognition.
