Copertina

The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Yuhan, Zou, Yixiong, Li, Yuhua, Li, Ruixuan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
di: Tong, Jintao, et al.
Pubblicazione: (2024)

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

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

Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
di: Zou, Yixiong, et al.
Pubblicazione: (2024)

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

Compositional Few-Shot Class-Incremental Learning
di: Zou, Yixiong, et al.
Pubblicazione: (2024)

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

Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
di: Jiang, Yongwei, et al.
Pubblicazione: (2026)

Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
di: Zhou, Haichen, et al.
Pubblicazione: (2024)

Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning
di: Zhao, Yaze, et al.
Pubblicazione: (2026)

Mind the Discriminability Trap in Source-Free Cross-domain Few-shot Learning
di: Zhang, Zhenyu, et al.
Pubblicazione: (2026)

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning
di: Yi, Shuai, et al.
Pubblicazione: (2026)

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
di: Ma, Ran, et al.
Pubblicazione: (2024)

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

Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
di: Zhang, Zhenyu, et al.
Pubblicazione: (2025)

Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
di: Yi, Shuai, et al.
Pubblicazione: (2025)

GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection
di: Liu, Jiacong, et al.
Pubblicazione: (2026)

Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition
di: Zhang, Zhenyu, et al.
Pubblicazione: (2024)

Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning
di: Jiang, Yongwei, et al.
Pubblicazione: (2025)

CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
di: Meng, Boyuan, et al.
Pubblicazione: (2025)

FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models
di: Tong, Jintao, et al.
Pubblicazione: (2025)

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
di: Fu, Yuqian, et al.
Pubblicazione: (2025)

MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
di: Zhang, Zhenyu, et al.
Pubblicazione: (2024)

The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results
di: Qiu, Xingyu, et al.
Pubblicazione: (2026)

Reclaiming Lost Text Layers for Source-Free Cross-Domain Few-Shot Learning
di: Zhang, Zhenyu, et al.
Pubblicazione: (2026)

Analyzing the Impact of Low-Rank Adaptation for Cross-Domain Few-Shot Object Detection in Aerial Images
di: Talaoubrid, Hicham, et al.
Pubblicazione: (2025)

Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain
di: Immanuel, Steve Andreas, et al.
Pubblicazione: (2024)

Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
di: Pan, Jiancheng, et al.
Pubblicazione: (2025)

Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
di: Zhang, Tiange, et al.
Pubblicazione: (2024)

FALCON: Few-Shot Adversarial Learning for Cross-Domain Medical Image Segmentation
di: Fayjie, Abdur R., et al.
Pubblicazione: (2026)

Modality-Collaborative Low-Rank Decomposers for Few-Shot Video Domain Adaptation
di: Wanyan, Yuyang, et al.
Pubblicazione: (2025)

Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation
di: Li, Jie, et al.
Pubblicazione: (2026)

Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification
di: Xiong, Conghao, et al.
Pubblicazione: (2025)

Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot Learning
di: Tang, Hao, et al.
Pubblicazione: (2024)

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

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
di: Gui, Guan, et al.
Pubblicazione: (2025)

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation
di: Ma, Jiaqi, et al.
Pubblicazione: (2025)

AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation
di: Ma, Jiaqi, et al.
Pubblicazione: (2024)

ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
di: Li, Shengze, et al.
Pubblicazione: (2024)

Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation
di: Carrión-Ojeda, Dustin, et al.
Pubblicazione: (2025)