CLIP在各大图像识别任务上都取得了非常先进的zero-shot识别性能, 即是仅用文本的信息（标签名）就可以...
首先CLIP的zero-shot迁移能力非常强。如在ImageNet问题上，CLIP无需ImageNet标注数据训练，通过zero-shot...
/ Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics 567 16Net (as shown in Fig. 1). The domain adaption struc- ture views training data and test data as two domains and aims to train a domain classifier that cannot distin- guish the domain of some given ...
Zero-shot Learning Using Multimodal Descriptions Utkarsh Mall, Bharath Hariharan, Kavita Bala Cornell University {utkarshm, bharathh, kb}@cs.cornell.edu Abstract Zero-shot learning (ZSL) tackles the problem of recog- nizing unseen classes using only semantic descriptions, e.g., attributes...
methods of segmentation include large-scale supervised training to enable zero-shot segmentation, but supervised training is expensive and does not scale. Current methods also include unsupervised training to enable segmentation without dense annotations, but such methods do not enable zero-shot ...
Zero-shot stance detection is pivotal for autonomously discerning user stances on novel emerging topics. This task hinges on effective feature alignment transfer from known to unseen targets. To address this, we introduce a zero-shot stance detection fra
The tuned zero-shot classification result is 0.346, which is less than the English ESA (0.440) shown in Table 5. Similar results have also been shown in previous monolingual zero-shot classification [24]. 3.2.3. RCV2 data classification We use the linear classifier trained on BOW as the ...
PromptAD: Zero-shot Anomaly Detection using Text Prompts Yiting Li1, Adam Goodge David1, Fayao Liu1 ∗, Chuan-Sheng Foo1 2 ∗ 1 Institute for Infocomm Research (I2R), A*STAR, Singapore 2 Centre for Frontier AI Research (CFAR), A*STAR, Singapore {li yiting, Goodg...
This, obviously, cannot be taken as a zero-shot fault detection since the classifier is trained on the actual fault data of the motor. We, on the other hand, did not use any of the actual fault data of that motor for training, instead using the proposed blind domain transition, we ...
【Counterfactual】Counterfactual Zero-Shot and Open-Set Visual Recognition,程序员大本营,技术文章内容聚合第一站。