Copertina

Out-of-Distribution Detection using Neural Activation Prior

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wan, Weilin, Zhang, Weizhong, Zhou, Quan, Yi, Fan, Jin, Cheng
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Neural Distribution Prior for LiDAR Out-of-Distribution Detection
di: Li, Zizhao, et al.
Pubblicazione: (2026)

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
di: Liu, Kai, et al.
Pubblicazione: (2024)

Exploiting Diffusion Prior for Out-of-Distribution Detection
di: Zhu, Armando, et al.
Pubblicazione: (2024)

Activation Subspaces for Out-of-Distribution Detection
di: Zöngür, Barış, et al.
Pubblicazione: (2025)

Learning with Adaptive Prototype Manifolds for Out-of-Distribution Detection
di: Peng, Ningkang, et al.
Pubblicazione: (2026)

Robust Fine-tuning for Pre-trained 3D Point Cloud Models
di: Zhang, Zhibo, et al.
Pubblicazione: (2024)

ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation
di: Zhang, Zhibo, et al.
Pubblicazione: (2024)

Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
di: Chen, Yu-Jen, et al.
Pubblicazione: (2025)

PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection
di: Zhang, Tianhao, et al.
Pubblicazione: (2024)

MagicFace: Training-free Universal-Style Human Image Customized Synthesis
di: Wang, Yibin, et al.
Pubblicazione: (2024)

Learning Transferable Negative Prompts for Out-of-Distribution Detection
di: Li, Tianqi, et al.
Pubblicazione: (2024)

Distributional Uncertainty for Out-of-Distribution Detection
di: Kim, JinYoung, et al.
Pubblicazione: (2025)

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
di: Wu, Yingwen, et al.
Pubblicazione: (2024)

Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation
di: Miao, Wenjun, et al.
Pubblicazione: (2024)

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

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

Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection
di: Zhu, Wenjie, et al.
Pubblicazione: (2025)

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

Predictive Sample Assignment for Semantically Coherent Out-of-Distribution Detection
di: Peng, Zhimao, et al.
Pubblicazione: (2025)

Delving into Out-of-Distribution Detection with Medical Vision-Language Models
di: Ju, Lie, et al.
Pubblicazione: (2025)

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

Prototype-based Optimal Transport for Out-of-Distribution Detection
di: Ke, Ao, et al.
Pubblicazione: (2024)

Multimodal Industrial Anomaly Detection via Geometric Prior
di: Li, Min, et al.
Pubblicazione: (2026)

Component-Based Out-of-Distribution Detection
di: Liu, Wenrui, et al.
Pubblicazione: (2026)

RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
di: Zhang, Bin, et al.
Pubblicazione: (2025)

Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
di: Liang, Jiachen, et al.
Pubblicazione: (2025)

OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
di: Miao, Wenjun, et al.
Pubblicazione: (2024)

NODI: Out-Of-Distribution Detection with Noise from Diffusion
di: Zhou, Jingqiu, et al.
Pubblicazione: (2024)

Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection
di: Lee, Pei-Kang, et al.
Pubblicazione: (2025)

Quantum Conflict Measurement in Decision Making for Out-of-Distribution Detection
di: Dong, Yilin, et al.
Pubblicazione: (2025)

FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning
di: Aathreya, Saandeep, et al.
Pubblicazione: (2024)

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

DreamText: High Fidelity Scene Text Synthesis
di: Wang, Yibin, et al.
Pubblicazione: (2024)

PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering
di: Wang, Yibin, et al.
Pubblicazione: (2024)

High-fidelity Person-centric Subject-to-Image Synthesis
di: Wang, Yibin, et al.
Pubblicazione: (2023)

Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
di: Long, Xingming, et al.
Pubblicazione: (2024)

Generative Neural Video Compression via Video Diffusion Prior
di: Mao, Qi, et al.
Pubblicazione: (2025)

Adaptive Label Smoothing for Out-of-Distribution Detection
di: Xu, Mingle, et al.
Pubblicazione: (2024)

Out-of-Distribution Detection with Prototypical Outlier Proxy
di: Gong, Mingrong, et al.
Pubblicazione: (2024)

GROOD: GRadient-Aware Out-of-Distribution Detection
di: ElAraby, Mostafa, et al.
Pubblicazione: (2023)