Learning to Calibrate for Reliable Visual Fire Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Ziqi, Zhou, Xiuzhuang, Gong, Xiangyang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Visual Imitation Learning with Calibrated Contrastive Representation
by: Wang, Yunke, et al.
Published: (2024)
by: Wang, Yunke, et al.
Published: (2024)
Image Processing Based Forest Fire Detection
by: V, Vipin
Published: (2024)
by: V, Vipin
Published: (2024)
Towards High-Resolution Industrial Image Anomaly Detection
by: Zhang, Ximiao, et al.
Published: (2025)
by: Zhang, Ximiao, et al.
Published: (2025)
A Deep Learning-Based CCTV System for Automatic Smoking Detection in Fire Exit Zones
by: Sadat, Sami, et al.
Published: (2025)
by: Sadat, Sami, et al.
Published: (2025)
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
by: Barfoot, Theodore, et al.
Published: (2024)
by: Barfoot, Theodore, et al.
Published: (2024)
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
by: Zhang, Ximiao, et al.
Published: (2024)
by: Zhang, Ximiao, et al.
Published: (2024)
Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of Uttarakhand
by: Gupta, Hari Prabhat, et al.
Published: (2024)
by: Gupta, Hari Prabhat, et al.
Published: (2024)
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
by: Kong, Lingdong, et al.
Published: (2024)
by: Kong, Lingdong, et al.
Published: (2024)
Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
by: Tian, Senmao, et al.
Published: (2025)
by: Tian, Senmao, et al.
Published: (2025)
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2024)
by: Du, Kaile, et al.
Published: (2024)
Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception
by: Loukovitis, Spyridon, et al.
Published: (2025)
by: Loukovitis, Spyridon, et al.
Published: (2025)
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
by: Su, Shangchao, et al.
Published: (2022)
by: Su, Shangchao, et al.
Published: (2022)
Joint Asymmetric Loss for Learning with Noisy Labels
by: Wang, Jialiang, et al.
Published: (2025)
by: Wang, Jialiang, et al.
Published: (2025)
One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models
by: Yang, Mingzhao, et al.
Published: (2023)
by: Yang, Mingzhao, et al.
Published: (2023)
Billet Number Recognition Based on Test-Time Adaptation
by: Wei, Yuan, et al.
Published: (2025)
by: Wei, Yuan, et al.
Published: (2025)
Reliable Mislabel Detection for Video Capsule Endoscopy Data
by: Werner, Julia, et al.
Published: (2026)
by: Werner, Julia, et al.
Published: (2026)
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
by: Das, Anindya Sundar, et al.
Published: (2024)
by: Das, Anindya Sundar, et al.
Published: (2024)
CCAD: Compressed Global Feature Conditioned Anomaly Detection
by: Jin, Xiao, et al.
Published: (2025)
by: Jin, Xiao, et al.
Published: (2025)
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
by: Zohrabi, Reihaneh, et al.
Published: (2025)
by: Zohrabi, Reihaneh, et al.
Published: (2025)
Post-hoc Selective Classification for Reliable Synthetic Image Detection
by: Zheng, Kaixiang, et al.
Published: (2026)
by: Zheng, Kaixiang, et al.
Published: (2026)
Learning with Mixture of Prototypes for Out-of-Distribution Detection
by: Lu, Haodong, et al.
Published: (2024)
by: Lu, Haodong, et al.
Published: (2024)
Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints
by: Yuan, Jinyang, et al.
Published: (2024)
by: Yuan, Jinyang, et al.
Published: (2024)
On-Device Continual Learning for Unsupervised Visual Anomaly Detection in Dynamic Manufacturing
by: Ren, Haoyu, et al.
Published: (2025)
by: Ren, Haoyu, et al.
Published: (2025)
Instruction-Guided Fusion of Multi-Layer Visual Features in Large Vision-Language Models
by: Li, Xu, et al.
Published: (2024)
by: Li, Xu, et al.
Published: (2024)
GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
by: Seleznova, Mariia, et al.
Published: (2025)
by: Seleznova, Mariia, et al.
Published: (2025)
Parametric $ρ$-Norm Scaling Calibration
by: Zhang, Siyuan, et al.
Published: (2024)
by: Zhang, Siyuan, et al.
Published: (2024)
Pre-trained Visual Dynamics Representations for Efficient Policy Learning
by: Luo, Hao, et al.
Published: (2024)
by: Luo, Hao, et al.
Published: (2024)
LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models
by: Lu, Ziqi, et al.
Published: (2024)
by: Lu, Ziqi, et al.
Published: (2024)
Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making
by: Chen, Ruoyu, et al.
Published: (2026)
by: Chen, Ruoyu, et al.
Published: (2026)
Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification
by: Chen, Yangmei, et al.
Published: (2026)
by: Chen, Yangmei, et al.
Published: (2026)
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants
by: Estievenart, Yorick, et al.
Published: (2025)
by: Estievenart, Yorick, et al.
Published: (2025)
Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
by: Nozarian, Farzad, et al.
Published: (2024)
by: Nozarian, Farzad, et al.
Published: (2024)
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
by: Wang, Haoxuan, et al.
Published: (2020)
by: Wang, Haoxuan, et al.
Published: (2020)
Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration
by: Guo, Huijie, et al.
Published: (2025)
by: Guo, Huijie, et al.
Published: (2025)
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
by: Liao, Dongping, et al.
Published: (2025)
by: Liao, Dongping, et al.
Published: (2025)
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning
by: Zhou, Xinning, et al.
Published: (2025)
by: Zhou, Xinning, et al.
Published: (2025)
Reliability-Driven LiDAR-Camera Fusion for Robust 3D Object Detection
by: Sadeghian, Reza, et al.
Published: (2025)
by: Sadeghian, Reza, et al.
Published: (2025)
UniADC: A Unified Framework for Anomaly Detection and Classification
by: Zhang, Ximiao, et al.
Published: (2025)
by: Zhang, Ximiao, et al.
Published: (2025)
Safe and Reliable Diffusion Models via Subspace Projection
by: Chen, Huiqiang, et al.
Published: (2025)
by: Chen, Huiqiang, et al.
Published: (2025)
$ε$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
by: Wang, Jialiang, et al.
Published: (2025)
by: Wang, Jialiang, et al.
Published: (2025)
Similar Items
-
Visual Imitation Learning with Calibrated Contrastive Representation
by: Wang, Yunke, et al.
Published: (2024) -
Image Processing Based Forest Fire Detection
by: V, Vipin
Published: (2024) -
Towards High-Resolution Industrial Image Anomaly Detection
by: Zhang, Ximiao, et al.
Published: (2025) -
A Deep Learning-Based CCTV System for Automatic Smoking Detection in Fire Exit Zones
by: Sadat, Sami, et al.
Published: (2025) -
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
by: Barfoot, Theodore, et al.
Published: (2024)