TU5.PA.11
Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain Adaptation
Prasanna Reddy Pulakurthi, Majid Rabbani, Jamison Heard, Sohail Dianat, Rochester Institute of Technology, United States; Celso M. de Melo, Raghuveer Rao, DEVCOM Army Research Laboratory, United States
Session:
TU5.PA: Machine Learning in Signal Processing 10 Poster
Track:
[ML] Machine Learning in Signal Processing
Location:
Poster Area A
Presentation Time:
Tue, 16 Sep, 16:30 - 18:00 Anchorage Time (UTC -8)
Session Chair:
Stanley Chan, Purdue University
Presentation
Discussion
Resources
No resources available.
Session TU5.PA
TU5.PA.1: ReACT: Reference-based Anime Colorization Transformer
Li-Ting Wang, Wen-Jiin Tsai, National Yang Ming Chiao Tung University, Taiwan
TU5.PA.2: RAVEN: RETHINKING ADVERSARIAL VIDEO GENERATION WITH EFFICIENT TRI-PLANE NETWORKS
Partha Ghosh, NeurCG GmbH, Germany; Soubhik Sanyal, Meta, United Kingdom; Cordelia Schmid, INRIA, France; Bernhard Schölkopf, Max Planck Inst. for intelligent Systems, Germany
TU5.PA.3: DYNAMIC 3D GAUSSIAN RECONSTRUCTION WITH SPECULAR REFLECTION
Mingyang Zhao, Hong Kong Institute of Science&Innovation, Chinese Academy of Sciences, Hong Kong, China, China; Yuanzhi Xu, Yifan Zuo, Jiangxi University of Finance and Economics, China; Xiaoshui Huang, Shanghai Jiao Tong University, China; Qiang Chen, Yuming Fang, Jiangxi University of Finance and Economics, China
TU5.PA.4: Simple Zero-Shot Image Dehazing
Jose-Luis Lisani, Julia Navarro, Uxue Untzilla, Universitat Illes Balears, Spain
TU5.PA.5: TARGET DRIVEN ADAPTIVE LOSS FOR INFRARED SMALL TARGET DETECTION
Yuho Shoji, Takahiro Toizumi, Atsushi Ito, NEC Corporation, Japan
TU5.PA.6: A DUAL BRANCH GRAPHIC TEXT DETECTION NETWORK BASED ON PROGRESSIVE DOMAIN ADAPTATION
Gang Zhou, Yuwei Feng, Tianci Zhang, Xinyi Chen, Li Zhang, Zhenhong Jia, Xinjiang University, China
TU5.PA.7: BLIND DENOISING USING DENSE IN DENSE NETWORK WITH ATTENTION MODULE
Jing-Ming Guo, Della Fitrayani Budiono, Yi-Chong Zeng, Zhen-Yu Chen, National Taiwan University of Science and Technology, Taiwan
TU5.PA.8: KNOWLEDGE IS WHAT YOU NEED FOR ACTIVE OBJECT TRACKING
Ziliang Guo, Shanghai Jiao Tong University, China; Ning Luo, Ningbo Seago Electric Co., Ltd, China; Junhao Gu, Weiwu Yan, Xingqi Fang, Yu Qiao, Shanghai Jiao Tong University, China
TU5.PA.9: FOUNDATION MODEL-BASED DEFORMABLE REGISTRATION OF MULTI-MODAL REMOTE SENSING IMAGES
Linsi Wu, Kaichen Nie, Peking University, China; Gang Shen, Xuefei Lv, Smart tower Co.Ltd, China; Chenglong Wu, China Tower, China; Yuru Pei, Peking University, China
TU5.PA.10: ID-TTA: Classifier-Free Test Time Adaptation for Metric Learning
Sen Jia, Amirhossein Hajavi, Homa Fashandi, Kevin Ferreira, Toronto AI Lab, LG Electronics, Canada
TU5.PA.11: Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain Adaptation
Prasanna Reddy Pulakurthi, Majid Rabbani, Jamison Heard, Sohail Dianat, Rochester Institute of Technology, United States; Celso M. de Melo, Raghuveer Rao, DEVCOM Army Research Laboratory, United States
TU5.PA.12: Adapting Foundation Features via Cross-View Contrastive Learning for Unseen Object Pose Estimation
Jaeguk Kim, Nam Ik Cho, Seoul National University, Korea (South)
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