:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zheng, Amber Yijia, Yang, Chiao-An, Yeh, Raymond A.
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2409.19210
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-concept Model Immunization through Differentiable Model Merging
by: Zheng, Amber Yijia, et al.
Published: (2024)

IMMA: Immunizing text-to-image Models against Malicious Adaptation
by: Zheng, Amber Yijia, et al.
Published: (2023)

Designing to Forget: Deep Semi-parametric Models for Unlearning
by: Zheng, Amber Yijia, et al.
Published: (2026)

Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts
by: Yang, Chiao-An, et al.
Published: (2025)

CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models
by: Fan, Weichen, et al.
Published: (2025)

Heatmap Regression without Soft-Argmax for Facial Landmark Detection
by: Yang, Chiao-An, et al.
Published: (2025)

Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention
by: Zhang, Haomeng, et al.
Published: (2024)

WebAccessVL: Violation-Aware VLM for Web Accessibility
by: Zheng, Amber Yijia, et al.
Published: (2025)

Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time
by: Yang, Chiao-An, et al.
Published: (2024)

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP
by: Zheng, Amber Yijia, et al.
Published: (2025)

Class-relevant Patch Embedding Selection for Few-Shot Image Classification
by: Jiang, Weihao, et al.
Published: (2024)

Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
by: Li, Linhao, et al.
Published: (2025)

Few-Shot Learning with Class Imbalance
by: Ochal, Mateusz, et al.
Published: (2021)

Multi-Level Correlation Network For Few-Shot Image Classification
by: Dang, Yunkai, et al.
Published: (2024)

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

Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation
by: Zhang, Yumin, et al.
Published: (2024)

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
by: Liu, Han, et al.
Published: (2024)

Frozen Feature Augmentation for Few-Shot Image Classification
by: Bär, Andreas, et al.
Published: (2024)

Bayesian Evidential Learning for Few-Shot Classification
by: Linghu, Xiongkun, et al.
Published: (2022)

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

Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification
by: Chen, Wenchen, et al.
Published: (2025)

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

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering
by: Liu, Chun, et al.
Published: (2025)

Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification
by: Qiu, Shulei, et al.
Published: (2024)

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
by: Liu, Chengyan, et al.
Published: (2024)

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

Multimodal CLIP Inference for Meta-Few-Shot Image Classification
by: Ferragu, Constance, et al.
Published: (2024)

Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
by: Zhu, Mingli, et al.
Published: (2024)

Singular Value Fine-tuning for Few-Shot Class-Incremental Learning
by: Wang, Zhiwu, et al.
Published: (2025)

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach
by: Shatri, Elona, et al.
Published: (2024)

Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning
by: Jiang, Shengqin, et al.
Published: (2026)

Frequency-Enhanced Dual-Subspace Networks for Few-Shot Fine-Grained Image Classification
by: Wang, Meijia, et al.
Published: (2026)

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

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
by: Fu, Kexue, et al.
Published: (2024)

Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models
by: Meng, Tian, et al.
Published: (2024)

Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning
by: Huang, Zitong, et al.
Published: (2024)

PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
by: Tian, Songsong, et al.
Published: (2024)

Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition
by: Karantaidis, George, et al.
Published: (2025)

Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
by: Li, Xiaojie, et al.
Published: (2024)

Few-Shot Remote Sensing Image Scene Classification with CLIP and Prompt Learning
by: Dimitrovski, Ivica, et al.
Published: (2025)