Shuhui Wang

Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization

2019

We address the unsupervised open domain recognition (UODR) problem, where categories in labeled source domain S is only a subset of those in unlabeled target domain T. The task is to correctly classify all samples …

Orthogonal Temporal Interpolation for Zero-Shot Video Recognition

2023 · arXiv (Cornell University)

Zero-shot video recognition (ZSVR) is a task that aims to recognize video categories that have not been seen during the model training process. Recently, vision-language models (VLMs) pre-trained on large-scale image-text pairs have demonstrated impressive …

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing

2023

Recent studies have shown that higher accuracy on ImageNet usually leads to better robustness against different corruptions. Therefore, in this paper, instead of following the traditional research paradigm that investigates new out-of-distribution corruptions or perturbations …

Adaptive Feature Swapping for Unsupervised Domain Adaptation

2023

The bottleneck of visual domain adaptation always lies in the learning of domain invariant representations. In this paper, we present a simple but effective technique named Adaptive Feature Swapping for learning domain invariant features in …