Summary of Xnet V2: Fewer Limitations, Better Results and Greater Universality, by Yanfeng Zhou et al.
XNet v2: Fewer Limitations, Better Results and Greater Universalityby Yanfeng Zhou, Lingrui Li, Zichen Wang,…
Summary of Pre-trained Language Models For Keyphrase Prediction: a Review, by Muhammad Umair et al.
Pre-Trained Language Models for Keyphrase Prediction: A Reviewby Muhammad Umair, Tangina Sultana, Young-Koo LeeFirst submitted…
Summary of Class-balanced Open-set Semi-supervised Object Detection For Medical Images, by Zhanyun Lu et al.
Class-balanced Open-set Semi-supervised Object Detection for Medical Imagesby Zhanyun Lu, Renshu Gu, Huimin Cheng, Siyu…
Summary of Multi-style Facial Sketch Synthesis Through Masked Generative Modeling, by Bowen Sun et al.
Multi-Style Facial Sketch Synthesis through Masked Generative Modelingby Bowen Sun, Guo Lu, Shibao ZhengFirst submitted…
Summary of Image-feature Weak-to-strong Consistency: An Enhanced Paradigm For Semi-supervised Learning, by Zhiyu Wu et al.
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learningby Zhiyu Wu, Jinshi CuiFirst submitted to…
Summary of Robust Semi-supervised Multimodal Medical Image Segmentation Via Cross Modality Collaboration, by Xiaogen Zhou and Yiyou Sun and Min Deng and Winnie Chiu Wing Chu and Qi Dou
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaborationby Xiaogen Zhou, Yiyou Sun, Min…
Summary of Generating Gender Alternatives in Machine Translation, by Sarthak Garg et al.
Generating Gender Alternatives in Machine Translationby Sarthak Garg, Mozhdeh Gheini, Clara Emmanuel, Tatiana Likhomanenko, Qin…
Summary of Many-shot In-context Learning For Molecular Inverse Design, by Saeed Moayedpour et al.
Many-Shot In-Context Learning for Molecular Inverse Designby Saeed Moayedpour, Alejandro Corrochano-Navarro, Faryad Sahneh, Shahriar Noroozizadeh,…
Summary of Learning Camouflaged Object Detection From Noisy Pseudo Label, by Jin Zhang and Ruiheng Zhang and Yanjiao Shi and Zhe Cao and Nian Liu and Fahad Shahbaz Khan
Learning Camouflaged Object Detection from Noisy Pseudo Labelby Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe…
Summary of Ss-ada: a Semi-supervised Active Domain Adaptation Framework For Semantic Segmentation, by Weihao Yan et al.
SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentationby Weihao Yan, Yeqiang Qian, Yueyuan…