Learning Invariant Visual Representations for Compositional Zero-Shot Learning

Compositional Zero-Shot Learning (CZSL) aims to recognize novel compositions using knowledge learned from seen attribute-object compositions in the training set. Previous works mainly project an image and a composition into a common embedding space to measure their compatibility score. However, both attributes and objects share the visual representations learned above, leading the model to exploit spurious correlations and bias towards seen pairs. Instead, we reconsider CZSL as an out-of-distribution generalization problem. If an object is treated as a domain, we can learn object-invariant features to recognize the attributes attached to any object reliably. Similarly, attribute-invariant features can also be learned when recognizing the objects with attributes as domains. Specifically, we propose an invariant feature learning framework to align different domains at the representation and gradient levels to capture the intrinsic characteristics associated with the tasks. Experiments on two CZSL benchmarks demonstrate that the proposed method significantly outperforms the previous state-of-the-art

MOESM1 of Development and evaluation of enzyme-linked immunosorbent assay of nucleic acid sequence-based amplification for diagnosis of invasive aspergillosis

Additional file 1. Additional table

The efficacy of GnRH-a followed by SanJieZhenTong capsules in long-term management of endometriosis: Study protocol for a multicenter, double-blinded, double-dummy randomized clinical trial

Background: Endometriosis is a common benign gynecological disorder with high risk of recurrence and adverse impact on fertility-sparing. This study aims to evaluate the effectiveness and safety of SanJieZhenTong Capsules, a traditional Chinese medicine, in the long-term management of endometriosis postoperatively. Methods: and analysis: A prospective, double-blinded, double-dummy parallel-group randomized controlled trial will be conducted at three university-based medical centers in China. A total of 600 patients with rAFS III-IV endometriosis diagnosed by laparoscopy will be enrolled. After fundamental treatment (gonadotropin-releasing hormone agonists injection starts on the first day of menstruation postoperatively, and repeats 3 times every 28 days), participants will be randomly allocated to the oral contraceptive group (oral contraceptive + dummy A) or SanJieZhenTong Capsules group (SanJieZhenTong Capsules + dummy B) in a 1:1 ratio. All participants will be treated and followed up for 52 weeks. The primary outcome is a recurrence rate based on endometriosis-related symptoms, physical examination, and/or ultrasound/MRI findings. The secondary outcome includes changes in quality of life and organic function outcome via the 36-item Short-Form scores and gastrointestinal function score. Conclusion: The current trial could provide rigorous evidence on SanJieZhenTong Capsules application in the long-term management of advanced-stage endometriosis