Cover Image

SeMoBridge: Semantic Modality Bridge for Efficient Few-Shot Adaptation of CLIP

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Timmermann, Christoph, Lee, Hyunse, Lee, Woojin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging
by: Yang, Jiawen, et al.
Published: (2025)

DAC-LoRA: Dynamic Adversarial Curriculum for Efficient and Robust Few-Shot Adaptation
by: Umrajkar, Ved
Published: (2025)

Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
by: Park, Junghwan, et al.
Published: (2025)

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
by: Kang, Suhyun, et al.
Published: (2024)

Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers
by: Grigore, Diana-Nicoleta, et al.
Published: (2024)

Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge
by: Berman, Nimrod, et al.
Published: (2025)

Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation
by: Chen, Hongxu, et al.
Published: (2026)

Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
by: Tong, Jintao, et al.
Published: (2025)

Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness
by: Joo, Hanseon, et al.
Published: (2025)

CLIP Can Understand Depth
by: Kim, Sohee, et al.
Published: (2024)

ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
by: Bendou, Yassir, et al.
Published: (2025)

MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching
by: Khazem, Salim, et al.
Published: (2026)

Bridging the Semantic Chasm: Synergistic Conceptual Anchoring for Generalized Few-Shot and Zero-Shot OOD Perception
by: Christoforos, Alexandros, et al.
Published: (2026)

Learning Generalizable Prompt for CLIP with Class Similarity Knowledge
by: Jung, Sehun, et al.
Published: (2025)

FrameBridge: Improving Image-to-Video Generation with Bridge Models
by: Wang, Yuji, et al.
Published: (2024)

MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation
by: Woehrle, Thomas, et al.
Published: (2024)

COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation
by: Huang, Fanding, et al.
Published: (2025)

Efficient Few-Shot Learning in Remote Sensing: Fusing Vision and Vision-Language Models
by: Chua, Jia Yun, et al.
Published: (2025)

Transductive Zero-Shot and Few-Shot CLIP
by: Martin, Ségolène, et al.
Published: (2024)

Fractional Diffusion Bridge Models
by: Nobis, Gabriel, et al.
Published: (2025)

VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation
by: Munir, Mustafa, et al.
Published: (2025)

1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization
by: Bai, Yunwei, et al.
Published: (2026)

BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
by: Liu, Shu, et al.
Published: (2025)

WalkCLIP: Multimodal Learning for Urban Walkability Prediction
by: Xiang, Shilong, et al.
Published: (2025)

A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
by: Wang, Zhengbo, et al.
Published: (2024)

DMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement
by: Kim, Youngmin, et al.
Published: (2026)

ACD-CLIP: Decoupling Representation and Dynamic Fusion for Zero-Shot Anomaly Detection
by: Ma, Ke, et al.
Published: (2025)

AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
by: Metzen, Jan Hendrik, et al.
Published: (2023)

Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
by: Mistretta, Marco, et al.
Published: (2025)

MoDE: CLIP Data Experts via Clustering
by: Ma, Jiawei, et al.
Published: (2024)

Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework
by: Li, Zhuohong, et al.
Published: (2024)

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
by: Chi, Zhixiang, et al.
Published: (2025)

Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging
by: Khan, Mohammed Abdul Hafeez, et al.
Published: (2025)

Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
by: Dai, Jiaxin, et al.
Published: (2025)

Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
by: Zhai, Guangyao, et al.
Published: (2025)

Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning
by: Paramonov, Kirill, et al.
Published: (2025)

Informative Rays Selection for Few-Shot Neural Radiance Fields
by: Orsingher, Marco, et al.
Published: (2023)

Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
by: Viti, Bruno, et al.
Published: (2024)

BankTweak: Adversarial Attack against Multi-Object Trackers by Manipulating Feature Banks
by: Shin, Woojin, et al.
Published: (2024)

CellCLIP -- Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning
by: Lu, Mingyu, et al.
Published: (2025)