ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Bai, Yichen, Han, Zongbo, Zhang, Changqing, Cao, Bing, Jiang, Xiaoheng, Hu, Qinghua |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalized Few-Shot Out-of-Distribution Detection
by: Li, Pinxuan, et al.
Published: (2025)
by: Li, Pinxuan, et al.
Published: (2025)
Retrieval-Augmented Prompt for OOD Detection
by: Han, Ruisong, et al.
Published: (2025)
by: Han, Ruisong, et al.
Published: (2025)
Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach
by: Xue, Leyan, et al.
Published: (2025)
by: Xue, Leyan, et al.
Published: (2025)
Out-Of-Distribution Detection with Diversification (Provably)
by: Yao, Haiyun, et al.
Published: (2024)
by: Yao, Haiyun, et al.
Published: (2024)
Dig2DIG: Dig into Diffusion Information Gains for Image Fusion
by: Cao, Bing, et al.
Published: (2025)
by: Cao, Bing, et al.
Published: (2025)
Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
by: Sayem, Faizul Rakib, et al.
Published: (2025)
by: Sayem, Faizul Rakib, et al.
Published: (2025)
Background Prompt for Few-Shot Out-of-Distribution Detection
by: Cai, Songyue, et al.
Published: (2025)
by: Cai, Songyue, et al.
Published: (2025)
Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection
by: Lee, Yujin, et al.
Published: (2024)
by: Lee, Yujin, et al.
Published: (2024)
A$^2$M$^2$-Net: Adaptively Aligned Multi-Scale Moment for Few-Shot Action Recognition
by: Gao, Zilin, et al.
Published: (2025)
by: Gao, Zilin, et al.
Published: (2025)
Few-Shot Remote Sensing Image Scene Classification with CLIP and Prompt Learning
by: Dimitrovski, Ivica, et al.
Published: (2025)
by: Dimitrovski, Ivica, et al.
Published: (2025)
Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
by: Zhang, Zhenyu, et al.
Published: (2025)
by: Zhang, Zhenyu, et al.
Published: (2025)
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation
by: Yan, Zhonghao, et al.
Published: (2025)
by: Yan, Zhonghao, et al.
Published: (2025)
Exploring Task-Level Optimal Prompts for Visual In-Context Learning
by: Zhu, Yan, et al.
Published: (2025)
by: Zhu, Yan, et al.
Published: (2025)
Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain
by: Immanuel, Steve Andreas, et al.
Published: (2024)
by: Immanuel, Steve Andreas, et al.
Published: (2024)
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
by: Jung, Min Jae, et al.
Published: (2023)
by: Jung, Min Jae, et al.
Published: (2023)
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
by: Zeng, Fanhu, et al.
Published: (2024)
by: Zeng, Fanhu, et al.
Published: (2024)
Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models
by: Han, Zongbo, et al.
Published: (2024)
by: Han, Zongbo, et al.
Published: (2024)
Distributional Uncertainty for Out-of-Distribution Detection
by: Kim, JinYoung, et al.
Published: (2025)
by: Kim, JinYoung, et al.
Published: (2025)
From Skeletons to Pixels: Few-Shot Precise Event Spotting via Representation and Prediction Distillation
by: Yeoh, Zhong Han Ervin, et al.
Published: (2026)
by: Yeoh, Zhong Han Ervin, et al.
Published: (2026)
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
by: Zhang, Tiange, et al.
Published: (2024)
by: Zhang, Tiange, et al.
Published: (2024)
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
by: Han, Jizhou, et al.
Published: (2025)
by: Han, Jizhou, et al.
Published: (2025)
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection
by: Syed, Qutub, et al.
Published: (2024)
by: Syed, Qutub, et al.
Published: (2024)
Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)
by: Zou, Yixiong, et al.
Published: (2024)
Topology-Aware CLIP Few-Shot Learning
by: Huang, Dazhi
Published: (2025)
by: Huang, Dazhi
Published: (2025)
Few-Shot Object Detection with Sparse Context Transformers
by: Mei, Jie, et al.
Published: (2024)
by: Mei, Jie, et al.
Published: (2024)
Generalizable Vision-Language Few-Shot Adaptation with Predictive Prompts and Negative Learning
by: Mandalika, Sriram
Published: (2025)
by: Mandalika, Sriram
Published: (2025)
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
by: Liu, Chenxi, et al.
Published: (2024)
by: Liu, Chenxi, et al.
Published: (2024)
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
by: Zou, Yixiong, et al.
Published: (2024)
by: Zou, Yixiong, et al.
Published: (2024)
Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection
by: Lai, Runhe, et al.
Published: (2025)
by: Lai, Runhe, et al.
Published: (2025)
Few-Shot Pattern Detection via Template Matching and Regression
by: Jo, Eunchan, et al.
Published: (2025)
by: Jo, Eunchan, et al.
Published: (2025)
Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes
by: Sinhamahapatra, Poulami, et al.
Published: (2024)
by: Sinhamahapatra, Poulami, et al.
Published: (2024)
DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability
by: Hu, Xirui, et al.
Published: (2025)
by: Hu, Xirui, et al.
Published: (2025)
Transductive Zero-Shot and Few-Shot CLIP
by: Martin, Ségolène, et al.
Published: (2024)
by: Martin, Ségolène, et al.
Published: (2024)
A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection
by: Baek, Jihyeon, et al.
Published: (2026)
by: Baek, Jihyeon, et al.
Published: (2026)
RAP: Retrieve, Adapt, and Prompt-Fit for Training-Free Few-Shot Medical Image Segmentation
by: Mao, Zhihao, et al.
Published: (2026)
by: Mao, Zhihao, et al.
Published: (2026)
Enhancing Early Alzheimer Disease Detection through Big Data and Ensemble Few-Shot Learning
by: Atitallah, Safa Ben, et al.
Published: (2025)
by: Atitallah, Safa Ben, et al.
Published: (2025)
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring
by: Cholopoulou, Eirini, et al.
Published: (2024)
by: Cholopoulou, Eirini, et al.
Published: (2024)
Bayesian Inverse Graphics for Few-Shot Concept Learning
by: Arriaga, Octavio, et al.
Published: (2024)
by: Arriaga, Octavio, et al.
Published: (2024)
SSVP: Synergistic Semantic-Visual Prompting for Industrial Zero-Shot Anomaly Detection
by: Fu, Chenhao, et al.
Published: (2026)
by: Fu, Chenhao, et al.
Published: (2026)
Beyond Synthetic Replays: Turning Diffusion Features into Few-Shot Class-Incremental Learning Knowledge
by: Kim, Junsu, et al.
Published: (2025)
by: Kim, Junsu, et al.
Published: (2025)
Similar Items
-
Generalized Few-Shot Out-of-Distribution Detection
by: Li, Pinxuan, et al.
Published: (2025) -
Retrieval-Augmented Prompt for OOD Detection
by: Han, Ruisong, et al.
Published: (2025) -
Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach
by: Xue, Leyan, et al.
Published: (2025) -
Out-Of-Distribution Detection with Diversification (Provably)
by: Yao, Haiyun, et al.
Published: (2024) -
Dig2DIG: Dig into Diffusion Information Gains for Image Fusion
by: Cao, Bing, et al.
Published: (2025)