Cover Image

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tong, Baoshun, Song, Kaiyu, Lai, Hanjiang
Format:	Preprint
Published:	2024
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

Test-time Alignment-Enhanced Adapter for Vision-Language Models
by: Tong, Baoshun, et al.
Published: (2024)

Leveraging Previous Steps: A Training-free Fast Solver for Flow Diffusion
by: Song, Kaiyu, et al.
Published: (2024)

Improving Training-free Conditional Diffusion Model via Fisher Information
by: Song, Kaiyu, et al.
Published: (2024)

Rethinking Oversaturation in Classifier-Free Guidance via Low Frequency
by: Song, Kaiyu, et al.
Published: (2025)

Generalized Few-Shot Out-of-Distribution Detection
by: Li, Pinxuan, et al.
Published: (2025)

Background Prompt for Few-Shot Out-of-Distribution Detection
by: Cai, Songyue, et al.
Published: (2025)

Enhancing Few-Shot Out-of-Distribution Detection via the Refinement of Foreground and Background
by: Li, Tianyu, et al.
Published: (2026)

Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image Retrieval
by: Chen, Junyang, et al.
Published: (2023)

Flow Matching Posterior Sampling: A Training-free Conditional Generation for Flow Matching
by: Song, Kaiyu, et al.
Published: (2024)

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
by: Zeng, Fanhu, et al.
Published: (2024)

An Iteration-Free Fixed-Point Estimator for Diffusion Inversion
by: Chen, Yifei, et al.
Published: (2025)

Two Simple Principles for Diffusion-Based Test-Time Adaptation
by: Song, Kaiyu, et al.
Published: (2023)

Towards Few-shot Out-of-Distribution Detection
by: Dong, Jiuqing, et al.
Published: (2023)

Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory
by: Lin, Yuxuan, et al.
Published: (2025)

Few-Shot Object Detection with Sparse Context Transformers
by: Mei, Jie, et al.
Published: (2024)

Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
by: Guo, Kaiyu, et al.
Published: (2025)

Topology Sculptor, Shape Refiner: Discrete Diffusion Model for High-Fidelity 3D Meshes Generation
by: Song, Kaiyu, et al.
Published: (2025)

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
by: Bai, Yichen, et al.
Published: (2023)

Low-Dimensional Gradient Helps Out-of-Distribution Detection
by: Wu, Yingwen, et al.
Published: (2023)

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation
by: Xu, Shijian
Published: (2025)

Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning
by: Chen, Dexia, et al.
Published: (2025)

Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
by: Ding, Choubo, et al.
Published: (2024)

Gradient-Regularized Out-of-Distribution Detection
by: Sharifi, Sina, et al.
Published: (2024)

MSGCoOp: Multiple Semantic-Guided Context Optimization for Few-Shot Learning
by: Wang, Zhaolong, et al.
Published: (2025)

Physics-Aligned Spectral Mamba: Decoupling Semantics and Dynamics for Few-Shot Hyperspectral Target Detection
by: Gong, Luqi, et al.
Published: (2026)

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

Hold-One-Shot-Out (HOSO) for Validation-Free Few-Shot CLIP Adapters
by: Vorster, Chris, et al.
Published: (2026)

Generalization-Enhanced Few-Shot Object Detection in Remote Sensing
by: Lin, Hui, et al.
Published: (2025)

Improving Few-Shot Change Detection Visual Question Answering via Decision-Ambiguity-guided Reinforcement Fine-Tuning
by: Dong, Fuyu, et al.
Published: (2025)

DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection
by: Gare, Gautam Rajendrakumar, et al.
Published: (2026)

Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection
by: Jiang, Yuxin, et al.
Published: (2025)

Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos
by: Pillai, Gargi V., et al.
Published: (2025)

Dual-Adapter: Training-free Dual Adaptation for Few-shot Out-of-Distribution Detection
by: Chen, Xinyi, et al.
Published: (2024)

Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation
by: Wang, Yimu, et al.
Published: (2025)

Geometric Mean Improves Loss For Few-Shot Learning
by: Wu, Tong, et al.
Published: (2025)

Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
by: Liu, Kai, et al.
Published: (2024)

Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection
by: Chen, Wenxi, et al.
Published: (2025)

Enhancing Out-of-Distribution Detection with Extended Logit Normalization
by: Ding, Yifan, et al.
Published: (2025)

AirShot: Efficient Few-Shot Detection for Autonomous Exploration
by: Wang, Zihan, et al.
Published: (2024)

ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models
by: Sural, Shounak, et al.
Published: (2024)