Copertina

Conditional Compatibility Learning for Context-Dependent Anomaly Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mishra, Shashank, Stricker, Didier, Rambach, Jason
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Machine Learning I.2.6; I.2.10
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

IMKD: Intensity-Aware Multi-Level Knowledge Distillation for Camera-Radar Fusion
di: Mishra, Shashank, et al.
Pubblicazione: (2025)

Real-Time Flying Object Detection with YOLOv8
di: Reis, Dillon, et al.
Pubblicazione: (2023)

Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles
di: Simon, Dror, et al.
Pubblicazione: (2019)

Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
di: Alabdulmohsin, Ibrahim, et al.
Pubblicazione: (2023)

Engineering an Efficient Object Tracker for Non-Linear Motion
di: Adžemović, Momir, et al.
Pubblicazione: (2024)

SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detection
di: Jayarathne, Nithira, et al.
Pubblicazione: (2025)

OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Models
di: Koroglu, Mathis, et al.
Pubblicazione: (2024)

Adaptive Self-Training for Object Detection
di: Vandeghen, Renaud, et al.
Pubblicazione: (2022)

Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
di: Yavari, Sara, et al.
Pubblicazione: (2025)

A Multi-Camera Vision-Based Approach for Fine-Grained Assembly Quality Control
di: Nazeri, Ali, et al.
Pubblicazione: (2025)

ReLKD: Inter-Class Relation Learning with Knowledge Distillation for Generalized Category Discovery
di: Zhou, Fang, et al.
Pubblicazione: (2025)

In Context Learning with Vision Transformers: Case Study
di: Zhao, Antony, et al.
Pubblicazione: (2025)

Autoassociative Learning of Structural Representations for Modeling and Classification in Medical Imaging
di: Buchnajzer, Zuzanna, et al.
Pubblicazione: (2024)

Representation Learning via Non-Contrastive Mutual Information
di: Guo, Zhaohan Daniel, et al.
Pubblicazione: (2025)

The Power of Next-Frame Prediction for Learning Physical Laws
di: Winterbottom, Thomas, et al.
Pubblicazione: (2024)

Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders
di: Eymaël, Alexandre, et al.
Pubblicazione: (2024)

Data Organization Matters in Multimodal Instruction Tuning: A Controlled Study of Capability Trade-offs
di: Tang, Guowei
Pubblicazione: (2026)

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation
di: Qian, Wenxu, et al.
Pubblicazione: (2025)

Beyond Segmentation: Structurally Informed Facade Parsing from Imperfect Images
di: Janicki, Maciej, et al.
Pubblicazione: (2026)

Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
di: Landolsi, Erik, et al.
Pubblicazione: (2024)

Residual Transformer Fusion Network for Salt and Pepper Image Denoising
di: Putra, Bintang Pradana Erlangga, et al.
Pubblicazione: (2025)

Hyperspectral Imaging for Identifying Foreign Objects on Pork Belly
di: Ghimpeteanu, Gabriela, et al.
Pubblicazione: (2025)

Physics-informed Variational Autoencoders for Improved Robustness to Environmental Factors of Variation
di: Thoreau, Romain, et al.
Pubblicazione: (2022)

Reasoning is a Modality
di: Liu, Zhiguang, et al.
Pubblicazione: (2026)

Systematic Literature Review of Vision-Based Approaches to Outdoor Livestock Monitoring with Lessons from Wildlife Studies
di: Scott, Stacey D., et al.
Pubblicazione: (2024)

Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
di: Ye, Hua, et al.
Pubblicazione: (2025)

Human-Centric Anomaly Detection in Surveillance Videos Using YOLO-World and Spatio-Temporal Deep Learning
di: Naeen, Mohammad Ali Etemadi, et al.
Pubblicazione: (2025)

Pointing-Based Object Recognition
di: Hajdúch, Lukáš, et al.
Pubblicazione: (2026)

SpatialMath: Spatial Comprehension-Infused Symbolic Reasoning for Mathematical Problem-Solving
di: Bajpai, Ashutosh, et al.
Pubblicazione: (2026)

Alternating Gradient Flow Utility: A Unified Metric for Structural Pruning and Dynamic Routing in Deep Networks
di: Qian, Tianhao, et al.
Pubblicazione: (2026)

WildRoadBench: A Wild Aerial Road-Damage Grounding Benchmark for Vision-Language Models and Autonomous Agents
di: Liu, Bingnan, et al.
Pubblicazione: (2026)

Learning to Seek Evidence: A Verifiable Reasoning Agent with Causal Faithfulness Analysis
di: Huang, Yuhang, et al.
Pubblicazione: (2025)

Contrastive pretraining for semantic segmentation is robust to noisy positive pairs
di: Gerard, Sebastian, et al.
Pubblicazione: (2022)

Emergence and Evolution of Interpretable Concepts in Diffusion Models
di: Tinaz, Berk, et al.
Pubblicazione: (2025)

HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos
di: Wang, Zhi, et al.
Pubblicazione: (2026)

Selection, Not Fusion: Radar-Modulated State Space Models for Radar-Camera Depth Estimation
di: Hou, Zhangcheng, et al.
Pubblicazione: (2026)

Once-For-All: A Train-Once and Select-Anytime Framework for Multimodal Instruction Tuning
di: Dong, Mingkang, et al.
Pubblicazione: (2026)

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models
di: Seo, Huichan, et al.
Pubblicazione: (2025)

Smooth regularization for efficient video recognition
di: Goldman, Gil, et al.
Pubblicazione: (2025)

Neuromorphic Monocular Depth Estimation with Uncertainty Modeling
di: Bergkvist, Viktor, et al.
Pubblicazione: (2026)