Saved in:
| Main Authors: | Cai, Xiuding, Zhu, Yaoyao, Fu, Linjie, Miao, Dong, Yao, Yu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.18165 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation
by: Cai, Xiuding, et al.
Published: (2022)
by: Cai, Xiuding, et al.
Published: (2022)
Invariance Principle Meets Vicinal Risk Minimization
by: Zhu, Yaoyao, et al.
Published: (2024)
by: Zhu, Yaoyao, et al.
Published: (2024)
Semantic Data Augmentation Enhanced Invariant Risk Minimization for Medical Image Domain Generalization
by: Zhu, Yaoyao, et al.
Published: (2025)
by: Zhu, Yaoyao, et al.
Published: (2025)
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification
by: Zhu, Yaoyao, et al.
Published: (2024)
by: Zhu, Yaoyao, et al.
Published: (2024)
Learning Semantic Directions for Feature Augmentation in Domain-Generalized Medical Segmentation
by: Wang, Yingkai, et al.
Published: (2025)
by: Wang, Yingkai, et al.
Published: (2025)
MD-Dose: A diffusion model based on the Mamba for radiation dose prediction
by: Fu, Linjie, et al.
Published: (2024)
by: Fu, Linjie, et al.
Published: (2024)
How to Teach Large Multimodal Models New Skills
by: Zhu, Zhen, et al.
Published: (2025)
by: Zhu, Zhen, et al.
Published: (2025)
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
by: Wang, Huiyi, et al.
Published: (2024)
by: Wang, Huiyi, et al.
Published: (2024)
LAKD-Activation Mapping Distillation Based on Local Learning
by: Zhang, Yaoze, et al.
Published: (2024)
by: Zhang, Yaoze, et al.
Published: (2024)
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning
by: Zhou, Xinning, et al.
Published: (2025)
by: Zhou, Xinning, et al.
Published: (2025)
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
by: Yu, Geng, et al.
Published: (2024)
by: Yu, Geng, et al.
Published: (2024)
Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning
by: Li, Linjie, et al.
Published: (2026)
by: Li, Linjie, et al.
Published: (2026)
Bayesian-guided Label Mapping for Visual Reprogramming
by: Cai, Chengyi, et al.
Published: (2024)
by: Cai, Chengyi, et al.
Published: (2024)
UM3: Unsupervised Map to Map Matching
by: Ying, Chaolong, et al.
Published: (2025)
by: Ying, Chaolong, et al.
Published: (2025)
Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification
by: Safdar, Mutahar, et al.
Published: (2025)
by: Safdar, Mutahar, et al.
Published: (2025)
Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation
by: Kim, Youngjoong, et al.
Published: (2026)
by: Kim, Youngjoong, et al.
Published: (2026)
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
by: Miao, Boming, et al.
Published: (2024)
by: Miao, Boming, et al.
Published: (2024)
CityGuard: Graph-Aware Private Descriptors for Bias-Resilient Identity Search Across Urban Cameras
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
by: Cai, Xiuding, et al.
Published: (2024)
by: Cai, Xiuding, et al.
Published: (2024)
CORE: Code-based Inverse Self-Training Framework with Graph Expansion for Virtual Agents
by: Wang, Keyu, et al.
Published: (2026)
by: Wang, Keyu, et al.
Published: (2026)
Stochastic Transition-Map Distillation for Fast Probabilistic Inference
by: Rapakoulias, George, et al.
Published: (2026)
by: Rapakoulias, George, et al.
Published: (2026)
DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation
by: Abdelsamad, Mohamed, et al.
Published: (2025)
by: Abdelsamad, Mohamed, et al.
Published: (2025)
Faster 3D Gaussian Splatting Convergence via Structure-Aware Densification
by: Lyu, Linjie, et al.
Published: (2026)
by: Lyu, Linjie, et al.
Published: (2026)
Toward Availability Attacks in 3D Point Clouds
by: Zhu, Yifan, et al.
Published: (2024)
by: Zhu, Yifan, et al.
Published: (2024)
EyePreserve: Identity-Preserving Iris Synthesis
by: Khan, Siamul Karim, et al.
Published: (2023)
by: Khan, Siamul Karim, et al.
Published: (2023)
Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing
by: Zhang, Fahong, et al.
Published: (2025)
by: Zhang, Fahong, et al.
Published: (2025)
End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer
by: Chu, Wenda, et al.
Published: (2026)
by: Chu, Wenda, et al.
Published: (2026)
Disentangling Content from Style to Overcome Shortcut Learning: A Hybrid Generative-Discriminative Learning Framework
by: Fu, Siming, et al.
Published: (2025)
by: Fu, Siming, et al.
Published: (2025)
Fairness-aware Vision Transformer via Debiased Self-Attention
by: Qiang, Yao, et al.
Published: (2023)
by: Qiang, Yao, et al.
Published: (2023)
Clebsch-Gordan Transformer: Fast and Global Equivariant Attention
by: Howell, Owen Lewis, et al.
Published: (2025)
by: Howell, Owen Lewis, et al.
Published: (2025)
Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
by: Qin, Huaiyuan, et al.
Published: (2025)
by: Qin, Huaiyuan, et al.
Published: (2025)
BRIDLE: Generalized Self-supervised Learning with Quantization
by: Nguyen, Hoang M., et al.
Published: (2025)
by: Nguyen, Hoang M., et al.
Published: (2025)
Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning
by: Lin, Yijun, et al.
Published: (2025)
by: Lin, Yijun, et al.
Published: (2025)
No Identity, no problem: Motion through detection for people tracking
by: Engilberge, Martin, et al.
Published: (2024)
by: Engilberge, Martin, et al.
Published: (2024)
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
by: Fischer, Tom, et al.
Published: (2024)
by: Fischer, Tom, et al.
Published: (2024)
CM2-Net: Continual Cross-Modal Mapping Network for Driver Action Recognition
by: Wang, Ruoyu, et al.
Published: (2024)
by: Wang, Ruoyu, et al.
Published: (2024)
Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks
by: Qiao, Yu, et al.
Published: (2024)
by: Qiao, Yu, et al.
Published: (2024)
Attention IoU: Examining Biases in CelebA using Attention Maps
by: Serianni, Aaron, et al.
Published: (2025)
by: Serianni, Aaron, et al.
Published: (2025)
FlowDepth: Decoupling Optical Flow for Self-Supervised Monocular Depth Estimation
by: Sun, Yiyang, et al.
Published: (2024)
by: Sun, Yiyang, et al.
Published: (2024)
Self-Supervised Weight Templates for Scalable Vision Model Initialization
by: Xie, Yucheng, et al.
Published: (2026)
by: Xie, Yucheng, et al.
Published: (2026)
Similar Items
-
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation
by: Cai, Xiuding, et al.
Published: (2022) -
Invariance Principle Meets Vicinal Risk Minimization
by: Zhu, Yaoyao, et al.
Published: (2024) -
Semantic Data Augmentation Enhanced Invariant Risk Minimization for Medical Image Domain Generalization
by: Zhu, Yaoyao, et al.
Published: (2025) -
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification
by: Zhu, Yaoyao, et al.
Published: (2024) -
Learning Semantic Directions for Feature Augmentation in Domain-Generalized Medical Segmentation
by: Wang, Yingkai, et al.
Published: (2025)