Learning to Be a Transformer to Pinpoint Anomalies
Fuente:
arXiv
Saved in:
| Main Authors: | Costanzino, Alex, Ramirez, Pierluigi Zama, Lisanti, Giuseppe, Di Stefano, Luigi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
by: Costanzino, Alex, et al.
Published: (2023)
by: Costanzino, Alex, et al.
Published: (2023)
Modulate-and-Map: Crossmodal Feature Mapping with Cross-View Modulation for 3D Anomaly Detection
by: Costanzino, Alex, et al.
Published: (2026)
by: Costanzino, Alex, et al.
Published: (2026)
SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark
by: Costanzino, Alex, et al.
Published: (2025)
by: Costanzino, Alex, et al.
Published: (2025)
Test Time Training for Industrial Anomaly Segmentation
by: Costanzino, Alex, et al.
Published: (2024)
by: Costanzino, Alex, et al.
Published: (2024)
LLaNA: Large Language and NeRF Assistant
by: Amaduzzi, Andrea, et al.
Published: (2024)
by: Amaduzzi, Andrea, et al.
Published: (2024)
Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training
by: Amaduzzi, Andrea, et al.
Published: (2025)
by: Amaduzzi, Andrea, et al.
Published: (2025)
Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces
by: Ramirez, Pierluigi Zama, et al.
Published: (2023)
by: Ramirez, Pierluigi Zama, et al.
Published: (2023)
Weight Space Representation Learning on Diverse NeRF Architectures
by: Ballerini, Francesco, et al.
Published: (2025)
by: Ballerini, Francesco, et al.
Published: (2025)
Multimodal SAM-adapter for Semantic Segmentation
by: Curti, Iacopo, et al.
Published: (2025)
by: Curti, Iacopo, et al.
Published: (2025)
Connecting NeRFs, Images, and Text
by: Ballerini, Francesco, et al.
Published: (2024)
by: Ballerini, Francesco, et al.
Published: (2024)
Neural Processing of Tri-Plane Hybrid Neural Fields
by: Cardace, Adriano, et al.
Published: (2023)
by: Cardace, Adriano, et al.
Published: (2023)
Deep Learning on Object-centric 3D Neural Fields
by: Ramirez, Pierluigi Zama, et al.
Published: (2023)
by: Ramirez, Pierluigi Zama, et al.
Published: (2023)
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions
by: Tosi, Fabio, et al.
Published: (2024)
by: Tosi, Fabio, et al.
Published: (2024)
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense
by: Bartolucci, Filippo, et al.
Published: (2024)
by: Bartolucci, Filippo, et al.
Published: (2024)
Towards Reliable Identification of Diffusion-based Image Manipulations
by: Costanzino, Alex, et al.
Published: (2025)
by: Costanzino, Alex, et al.
Published: (2025)
Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation
by: Sirotkin, Kirill, et al.
Published: (2024)
by: Sirotkin, Kirill, et al.
Published: (2024)
What is Adversarial Training for Diffusion Models?
by: Rosaria, Briglia Maria, et al.
Published: (2025)
by: Rosaria, Briglia Maria, et al.
Published: (2025)
Semantic Image Synthesis via Class-Adaptive Cross-Attention
by: Fontanini, Tomaso, et al.
Published: (2023)
by: Fontanini, Tomaso, et al.
Published: (2023)
NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces
by: Ramirez, Pierluigi Zama, et al.
Published: (2025)
by: Ramirez, Pierluigi Zama, et al.
Published: (2025)
Pinpointing Trigger Moment for Grounded Video QA: Enhancing Spatio-temporal Grounding in Multimodal Large Language Models
by: Seo, Jinhwan, et al.
Published: (2025)
by: Seo, Jinhwan, et al.
Published: (2025)
Neurosymbolic Object-Centric Learning with Distant Supervision
by: Colamonaco, Stefano, et al.
Published: (2025)
by: Colamonaco, Stefano, et al.
Published: (2025)
KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices
by: Khan, Uzair, et al.
Published: (2025)
by: Khan, Uzair, et al.
Published: (2025)
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
by: Seth, Pratinav, et al.
Published: (2024)
by: Seth, Pratinav, et al.
Published: (2024)
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions
by: Mishra, Pratik K., et al.
Published: (2022)
by: Mishra, Pratik K., et al.
Published: (2022)
AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors
by: Fučka, Matic, et al.
Published: (2026)
by: Fučka, Matic, et al.
Published: (2026)
Evaluating the Adversarial Robustness of Detection Transformers
by: Nazeri, Amirhossein, et al.
Published: (2024)
by: Nazeri, Amirhossein, et al.
Published: (2024)
Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate
by: Lee, Byung Hyun, et al.
Published: (2025)
by: Lee, Byung Hyun, et al.
Published: (2025)
Learning Priors of Human Motion With Vision Transformers
by: Falqueto, Placido, et al.
Published: (2025)
by: Falqueto, Placido, et al.
Published: (2025)
TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection
by: Bonazzi, Pietro, et al.
Published: (2026)
by: Bonazzi, Pietro, et al.
Published: (2026)
NVS-HO: A Benchmark for Novel View Synthesis of Handheld Objects
by: Ali, Musawar, et al.
Published: (2026)
by: Ali, Musawar, et al.
Published: (2026)
PinpointQA: A Dataset and Benchmark for Small Object-Centric Spatial Understanding in Indoor Videos
by: Zhou, Zhiyu, et al.
Published: (2026)
by: Zhou, Zhiyu, et al.
Published: (2026)
Explainable Deep Convolutional Multi-Type Anomaly Detection
by: George, Alex, et al.
Published: (2025)
by: George, Alex, et al.
Published: (2025)
Understanding Adversarial Training with Energy-based Models
by: Mirza, Mujtaba Hussain, et al.
Published: (2025)
by: Mirza, Mujtaba Hussain, et al.
Published: (2025)
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
by: Liang, Yun, et al.
Published: (2024)
by: Liang, Yun, et al.
Published: (2024)
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
by: Zhu, Jiawen, et al.
Published: (2023)
by: Zhu, Jiawen, et al.
Published: (2023)
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
by: Zhong, Hanwen, et al.
Published: (2025)
by: Zhong, Hanwen, et al.
Published: (2025)
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
by: Tao, Chenchen, et al.
Published: (2024)
by: Tao, Chenchen, et al.
Published: (2024)
Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
by: Fan, Lei, et al.
Published: (2024)
by: Fan, Lei, et al.
Published: (2024)
DNP-Guided Contrastive Reconstruction with a Reverse Distillation Transformer for Medical Anomaly Detection
by: Li, Luhu, et al.
Published: (2025)
by: Li, Luhu, et al.
Published: (2025)
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)
by: Zhou, Qihang, et al.
Published: (2023)
Similar Items
-
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
by: Costanzino, Alex, et al.
Published: (2023) -
Modulate-and-Map: Crossmodal Feature Mapping with Cross-View Modulation for 3D Anomaly Detection
by: Costanzino, Alex, et al.
Published: (2026) -
SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark
by: Costanzino, Alex, et al.
Published: (2025) -
Test Time Training for Industrial Anomaly Segmentation
by: Costanzino, Alex, et al.
Published: (2024) -
LLaNA: Large Language and NeRF Assistant
by: Amaduzzi, Andrea, et al.
Published: (2024)