22 citations · 73 across the 29 of their papers we have counts for
5 papers · 1 filter
SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding
Mengxue Qu, Yu Wu, Wu Liu +5
In this paper, we investigate how to achieve better visual grounding with modern vision-language transformers, and propose a simple yet powerful Selective Retraining (SiRi) mechani…
Predicting Word Learning in Children from the Performance of Computer Vision Systems
Sunayana Rane, Mira L. Nencheva, Zeyu Wang +3
For human children as well as machine learning systems, a key challenge in learning a word is linking the word to the visual phenomena it describes. We explore this aspect of word…
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
Zhiwei Deng, Olga Russakovsky
We propose an algorithm that compresses the critical information of a large dataset into compact addressable memories. These memories can then be recalled to quickly re-train a neu…
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA
Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan
We introduce CARETS, a systematic test suite to measure consistency and robustness of modern VQA models through a series of six fine-grained capability tests. In contrast to existi…
Multi-Query Video Retrieval
Zeyu Wang, Yu Wu, Karthik Narasimhan +1
Retrieving target videos based on text descriptions is a task of great practical value and has received increasing attention over the past few years. Despite recent progress, imper…