Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Ganguly, Debargha, Gupta, Debayan, Chaudhary, Vipin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Forte : Finding Outliers with Representation Typicality Estimation
by: Ganguly, Debargha, et al.
Published: (2024)
by: Ganguly, Debargha, et al.
Published: (2024)
Image Processing Based Forest Fire Detection
by: V, Vipin
Published: (2024)
by: V, Vipin
Published: (2024)
Revolutionizing Wildfire Detection with Convolutional Neural Networks: A VGG16 Model Approach
by: Malladi, Lakshmi Aishwarya, et al.
Published: (2025)
by: Malladi, Lakshmi Aishwarya, et al.
Published: (2025)
LRD-Net: A Lightweight Real-Centered Detection Network for Cross-Domain Face Forgery Detection
by: Zhang, Xuecen, et al.
Published: (2026)
by: Zhang, Xuecen, et al.
Published: (2026)
LABELING COPILOT: A Deep Research Agent for Automated Data Curation in Computer Vision
by: Ganguly, Debargha, et al.
Published: (2025)
by: Ganguly, Debargha, et al.
Published: (2025)
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings
by: Efthymiou, Athanasios, et al.
Published: (2021)
by: Efthymiou, Athanasios, et al.
Published: (2021)
Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection
by: Feifel, Patrick, et al.
Published: (2025)
by: Feifel, Patrick, et al.
Published: (2025)
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data
by: Huang, Jinghan, et al.
Published: (2024)
by: Huang, Jinghan, et al.
Published: (2024)
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis
by: Dutta, Soumya, et al.
Published: (2024)
by: Dutta, Soumya, et al.
Published: (2024)
Understanding Multimodal Deep Neural Networks: A Concept Selection View
by: Shang, Chenming, et al.
Published: (2024)
by: Shang, Chenming, et al.
Published: (2024)
Fractional Concepts in Neural Networks: Enhancing Activation Functions
by: Alijani, Zahra, et al.
Published: (2023)
by: Alijani, Zahra, et al.
Published: (2023)
AnomalousNet: A Hybrid Approach with Attention U-Nets and Change Point Detection for Accurate Characterization of Anomalous Diffusion in Video Data
by: Ahsini, Yusef, et al.
Published: (2025)
by: Ahsini, Yusef, et al.
Published: (2025)
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones
by: Risso, Matteo, et al.
Published: (2024)
by: Risso, Matteo, et al.
Published: (2024)
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
by: Jin, Can, et al.
Published: (2023)
by: Jin, Can, et al.
Published: (2023)
Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction
by: Wasswa, Hassan, et al.
Published: (2025)
by: Wasswa, Hassan, et al.
Published: (2025)
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
by: Chang, Wonjoon, et al.
Published: (2023)
by: Chang, Wonjoon, et al.
Published: (2023)
GIMS: Image Matching System Based on Adaptive Graph Construction and Graph Neural Network
by: Song, Xianfeng, et al.
Published: (2024)
by: Song, Xianfeng, et al.
Published: (2024)
Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking
by: Soudeep, Shahriar, et al.
Published: (2024)
by: Soudeep, Shahriar, et al.
Published: (2024)
Dual Precision Deep Neural Network
by: Park, Jae Hyun, et al.
Published: (2020)
by: Park, Jae Hyun, et al.
Published: (2020)
Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks
by: Gahir, Amar, et al.
Published: (2026)
by: Gahir, Amar, et al.
Published: (2026)
How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model
by: Cagnetta, Francesco, et al.
Published: (2023)
by: Cagnetta, Francesco, et al.
Published: (2023)
Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data
by: Wisniewski, Mariusz, et al.
Published: (2024)
by: Wisniewski, Mariusz, et al.
Published: (2024)
Achieving Data Efficient Neural Networks with Hybrid Concept-based Models
by: Opsahl, Tobias A., et al.
Published: (2024)
by: Opsahl, Tobias A., et al.
Published: (2024)
Gaussian Rank-Based Neighborhood Degree for Graph Neural Networks in Image Classification
by: Duarte, Rafael Mendonça, et al.
Published: (2026)
by: Duarte, Rafael Mendonça, et al.
Published: (2026)
Improving text-conditioned latent diffusion for cancer pathology
by: Rao, Aakash Madhav, et al.
Published: (2024)
by: Rao, Aakash Madhav, et al.
Published: (2024)
Graph Neural Networks for Surgical Scene Segmentation
by: Li, Yihan, et al.
Published: (2025)
by: Li, Yihan, et al.
Published: (2025)
Compositional Curvature Bounds for Deep Neural Networks
by: Entesari, Taha, et al.
Published: (2024)
by: Entesari, Taha, et al.
Published: (2024)
VALO: A Versatile Anytime Framework for LiDAR-based Object Detection Deep Neural Networks
by: Soyyigit, Ahmet, et al.
Published: (2024)
by: Soyyigit, Ahmet, et al.
Published: (2024)
TensorProjection Layer: A Tensor-Based Dimension Reduction Method in Deep Neural Networks
by: Morimoto, Toshinari, et al.
Published: (2020)
by: Morimoto, Toshinari, et al.
Published: (2020)
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
by: Schmalwasser, Laines, et al.
Published: (2025)
by: Schmalwasser, Laines, et al.
Published: (2025)
Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network
by: Wang, Zhen, et al.
Published: (2024)
by: Wang, Zhen, et al.
Published: (2024)
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations
by: Hu, Wenhao, et al.
Published: (2024)
by: Hu, Wenhao, et al.
Published: (2024)
Context Determines Optimal Architecture in Materials Segmentation
by: Lu, Mingjian, et al.
Published: (2026)
by: Lu, Mingjian, et al.
Published: (2026)
Graph Neural Network based Handwritten Trajectories Recognition
by: Sharma, Anuj, et al.
Published: (2024)
by: Sharma, Anuj, et al.
Published: (2024)
Good Representation, Better Explanation: Role of Convolutional Neural Networks in Transformer-Based Remote Sensing Image Captioning
by: Das, Swadhin, et al.
Published: (2025)
by: Das, Swadhin, et al.
Published: (2025)
Block Graph Neural Networks for tumor heterogeneity prediction
by: Njifon, Marianne Abémgnigni, et al.
Published: (2025)
by: Njifon, Marianne Abémgnigni, et al.
Published: (2025)
An Explainable Fast Deep Neural Network for Emotion Recognition
by: Di Luzio, Francesco, et al.
Published: (2024)
by: Di Luzio, Francesco, et al.
Published: (2024)
Calibrating Deep Neural Network using Euclidean Distance
by: Liang, Wenhao, et al.
Published: (2024)
by: Liang, Wenhao, et al.
Published: (2024)
Reservoir-Based Graph Convolutional Networks
by: Soussia, Mayssa, et al.
Published: (2026)
by: Soussia, Mayssa, et al.
Published: (2026)
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
by: Yang, Tuan-Anh, et al.
Published: (2025)
by: Yang, Tuan-Anh, et al.
Published: (2025)
Similar Items
-
Forte : Finding Outliers with Representation Typicality Estimation
by: Ganguly, Debargha, et al.
Published: (2024) -
Image Processing Based Forest Fire Detection
by: V, Vipin
Published: (2024) -
Revolutionizing Wildfire Detection with Convolutional Neural Networks: A VGG16 Model Approach
by: Malladi, Lakshmi Aishwarya, et al.
Published: (2025) -
LRD-Net: A Lightweight Real-Centered Detection Network for Cross-Domain Face Forgery Detection
by: Zhang, Xuecen, et al.
Published: (2026) -
LABELING COPILOT: A Deep Research Agent for Automated Data Curation in Computer Vision
by: Ganguly, Debargha, et al.
Published: (2025)