Cover Image

Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Tianjiao, Zhang, Zhen, Liu, Yuhang, Shi, Javen Qinfeng
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
by: Cai, Yichao, et al.
Published: (2025)

CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
by: Cai, Yichao, et al.
Published: (2023)

Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
by: Liu, Yuhang, et al.
Published: (2024)

Exploring Cross-Modal Flows for Few-Shot Learning
by: Jiang, Ziqi, et al.
Published: (2025)

A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
by: Cheng, Hongrong, et al.
Published: (2023)

A Simple-but-effective Baseline for Training-free Class-Agnostic Counting
by: Lin, Yuhao, et al.
Published: (2024)

Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification
by: Goswami, Dipam, et al.
Published: (2026)

Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
by: Zhu, Lin, et al.
Published: (2025)

Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
by: Zhou, Yuan, et al.
Published: (2024)

A Theory-Inspired Framework for Few-Shot Cross-Modal Sketch Person Re-Identification
by: Gong, Yunpeng, et al.
Published: (2025)

The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning
by: Tian, Mingkai, et al.
Published: (2025)

Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
by: Zhang, Yi, et al.
Published: (2024)

Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detection
by: Wang, Wanqi, et al.
Published: (2026)

Cross-Modal Mapping: Mitigating the Modality Gap for Few-Shot Image Classification
by: Yang, Xi, et al.
Published: (2024)

Learning to Reason and Navigate: Parameter Efficient Action Planning with Large Language Models
by: Mohammadi, Bahram, et al.
Published: (2025)

Few-Shot Referring Video Single- and Multi-Object Segmentation via Cross-Modal Affinity with Instance Sequence Matching
by: Liu, Heng, et al.
Published: (2025)

Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate
by: Huang, Qidong, et al.
Published: (2024)

Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework
by: Yang, Zhengwei, et al.
Published: (2024)

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment
by: Kawamoto, Kazuhiko, et al.
Published: (2025)

Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2026)

Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning
by: Xu, Huali, et al.
Published: (2024)

Learning Modality Knowledge Alignment for Cross-Modality Transfer
by: Ma, Wenxuan, et al.
Published: (2024)

Simple Semantic-Aided Few-Shot Learning
by: Zhang, Hai, et al.
Published: (2023)

Categorical Keypoint Positional Embedding for Robust Animal Re-Identification
by: Lin, Yuhao, et al.
Published: (2024)

Random Registers for Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2025)

Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
by: Zhou, Fei, et al.
Published: (2024)

Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment
by: Zhao, Yaze, et al.
Published: (2026)

Bias Mitigating Few-Shot Class-Incremental Learning
by: Zhao, Li-Jun, et al.
Published: (2024)

Augmented Commonsense Knowledge for Remote Object Grounding
by: Mohammadi, Bahram, et al.
Published: (2024)

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
by: Tong, Jintao, et al.
Published: (2025)

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
by: Xu, Huali, et al.
Published: (2023)

Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
by: Li, Yuke, et al.
Published: (2024)

Res$^2$CLIP: Few-Shot Generalist Anomaly Detection with Residual-to-Residual Alignment
by: Liu, Xinyue, et al.
Published: (2026)

DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
by: Rahman, Umaima, et al.
Published: (2025)

ProtoConNet: Prototypical Augmentation and Alignment for Open-Set Few-Shot Image Classification
by: Shi, Kexuan, et al.
Published: (2025)

Enhancing Vision-Language Few-Shot Adaptation with Negative Learning
by: Zhang, Ce, et al.
Published: (2024)

Cross-Modal Scene Semantic Alignment for Image Complexity Assessment
by: Luo, Yuqing, et al.
Published: (2025)

Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
by: Hatano, Masashi, et al.
Published: (2024)

Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
by: Chen, Ruoyu, et al.
Published: (2025)

Seeing 3D Through 2D Lenses: 3D Few-Shot Class-Incremental Learning via Cross-Modal Geometric Rectification
by: Xiang, Tuo, et al.
Published: (2025)