Out-of-Distribution Detection
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Detect out-of-distribution or anomalous examples.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jingkang50/openood
공식 코드https://github.com/johannbrehmer/manifold-flow
공식 코드Flows for simultaneous manifold learning and density estimation
https://github.com/josefina-catoni/ea-vae-uncertainty-in-latent-representations
공식 코드Uncertainty in latent representations of variational autoencoders optimized for visual tasks
https://github.com/julietljy/mood
공식 코드Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
https://github.com/jylins/hood
공식 코드Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
https://github.com/kai422/scale
공식 코드Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
https://github.com/kaustubhsridhar/time-series-ood
공식 코드CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
https://github.com/kingjamessong/rankfeat
공식 코드RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
https://github.com/kirk86/RAIOOD
공식 코드On the Importance of Regularisation & Auxiliary Information in OOD Detection
https://github.com/kirk86/bdlood
공식 코드https://github.com/kobybibas/pnml_ood_detection
공식 코드Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
https://github.com/kpeng9510/os-sar
공식 코드Navigating Open Set Scenarios for Skeleton-based Action Recognition
https://github.com/lakpa-tamang9/margin_ood
공식 코드Margin-bounded Confidence Scores for Out-of-Distribution Detection
https://github.com/lancopku/avg-avg
공식 코드Holistic Sentence Embeddings for Better Out-of-Distribution Detection
https://github.com/lancopku/gnome
공식 코드https://github.com/larsdoorenbos/ncis
공식 코드Non-Linear Outlier Synthesis for Out-of-Distribution Detection
https://github.com/larsmaaloee/BIVA
공식 코드https://github.com/lawliet-zzl/drl
공식 코드Dual Representation Learning for Out-of-Distribution Detection
https://github.com/lawliet-zzl/lcvd
공식 코드Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data
https://github.com/layer6ai-labs/rectangular-flows
공식 코드https://github.com/lblaoke/emcmc
공식 코드https://github.com/leonnnop/gmmseg
공식 코드GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
https://github.com/lgalke/lifelong-learning
공식 코드Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes
https://github.com/lhao499/HDGE
공식 코드Hybrid Discriminative-Generative Training via Contrastive Learning
https://github.com/liam0949/llm-ood
공식 코드VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection
https://github.com/lihenryhfl/pcdm
공식 코드Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
https://github.com/lili0415/dpu-ood-detection
공식 코드DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
https://github.com/limchaos/likelihood-ood
공식 코드Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
https://github.com/linasnas/dexter
공식 코드https://github.com/linhaowei1/flats
공식 코드FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
https://github.com/liuyuan-wen/av-ood-gzsl
공식 코드Out-Of-Distribution Detection for Audio-visual Generalized Zero-Shot Learning: A General Framework
https://github.com/llnl/amp
공식 코드https://github.com/lmb-freiburg/diffusion-for-ood
공식 코드Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
https://github.com/loris2222/concept-visualization
공식 코드Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet
https://github.com/lufan31/et-ood
공식 코드Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.