Copertina

Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mitra, Soham, Sukul, Atri, Roy, Swalpa Kumar, Singh, Pravendra, Verma, Vinay
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LG-Traj: LLM Guided Pedestrian Trajectory Prediction
di: Chib, Pranav Singh, et al.
Pubblicazione: (2024)

Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?
di: Dutta, Pallabi, et al.
Pubblicazione: (2024)

HyperCap: Hyperspectral Land Cover Captioning Dataset for Vision Language Models
di: Das, Aryan, et al.
Pubblicazione: (2025)

Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study
di: Mitra, Pallavi, et al.
Pubblicazione: (2024)

FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization
di: Karim, Mohammed Asad, et al.
Pubblicazione: (2026)

Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation
di: Kumari, Suruchi, et al.
Pubblicazione: (2024)

Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs
di: Singh, Aniket K., et al.
Pubblicazione: (2024)

Efficient Text-Guided Convolutional Adapter for the Diffusion Model
di: Das, Aryan, et al.
Pubblicazione: (2026)

Pediatric Pneumonia Detection from Chest X-Rays:A Comparative Study of Transfer Learning and Custom CNNs
di: Choudhury, Agniv Roy
Pubblicazione: (2025)

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
di: Das, Aryan, et al.
Pubblicazione: (2026)

GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation
di: Tragakis, Athanasios, et al.
Pubblicazione: (2024)

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach
di: Nieradzik, Lars, et al.
Pubblicazione: (2024)

Alignment-Aware and Reliability-Gated Multimodal Fusion for Unmanned Aerial Vehicle Detection Across Heterogeneous Thermal-Visual Sensors
di: Jahan, Ishrat, et al.
Pubblicazione: (2026)

On The Coherence of Quantitative Evaluation of Visual Explanations
di: Vandersmissen, Benjamin, et al.
Pubblicazione: (2023)

Promoting Shape Bias in CNNs: Frequency-Based and Contrastive Regularization for Corruption Robustness
di: Ranabhat, Robin Narsingh, et al.
Pubblicazione: (2025)

Automated Image Captioning with CNNs and Transformers
di: Cahyono, Joshua Adrian, et al.
Pubblicazione: (2024)

Stacked Ensemble of Fine-Tuned CNNs for Knee Osteoarthritis Severity Grading
di: Gupta, Adarsh, et al.
Pubblicazione: (2025)

Pixel-level Certified Explanations via Randomized Smoothing
di: Anani, Alaa, et al.
Pubblicazione: (2025)

Less is More: The Influence of Pruning on the Explainability of CNNs
di: Merkle, Florian, et al.
Pubblicazione: (2023)

Leveraging Language Prior for Infrared Small Target Detection
di: Singh, Pranav, et al.
Pubblicazione: (2025)

Rethinking Visual Counterfactual Explanations Through Region Constraint
di: Sobieski, Bartlomiej, et al.
Pubblicazione: (2024)

When CNNs Outperform Transformers and Mambas: Revisiting Deep Architectures for Dental Caries Segmentation
di: Ghimire, Aashish, et al.
Pubblicazione: (2025)

Demystifying Visual Features of Movie Posters for Multi-Label Genre Identification
di: Nareti, Utsav Kumar, et al.
Pubblicazione: (2023)

V-CECE: Visual Counterfactual Explanations via Conceptual Edits
di: Spanos, Nikolaos, et al.
Pubblicazione: (2025)

Location-Aware Pretraining for Medical Difference Visual Question Answering
di: Musinguzi, Denis, et al.
Pubblicazione: (2026)

MuDD: A Multimodal Deception Detection Dataset and GSR-Guided Progressive Distillation for Non-Contact Deception Detection
di: Jiang, Peiyuan, et al.
Pubblicazione: (2026)

Efficient CNNs via Passive Filter Pruning
di: Singh, Arshdeep, et al.
Pubblicazione: (2023)

Enhancing CNNs robustness to occlusions with bioinspired filters for border completion
di: Coutinho, Catarina P., et al.
Pubblicazione: (2025)

Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation
di: Zhang, Ziheng, et al.
Pubblicazione: (2025)

XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest Radiography
di: Luo, Haozhe, et al.
Pubblicazione: (2025)

Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging
di: Chung, Minjae, et al.
Pubblicazione: (2025)

Noise-Free Explanation for Driving Action Prediction
di: Zhu, Hongbo, et al.
Pubblicazione: (2024)

MedLVR: Latent Visual Reasoning for Reliable Medical Visual Question Answering
di: Xi, Suyang, et al.
Pubblicazione: (2026)

PlantDiseaseNet-RT50: A Fine-tuned ResNet50 Architecture for High-Accuracy Plant Disease Detection Beyond Standard CNNs
di: Sagnika, Santwana, et al.
Pubblicazione: (2025)

Evaluating the Impact of Compression Techniques on the Robustness of CNNs under Natural Corruptions
di: Da Silva, Itallo Patrick Castro Alves, et al.
Pubblicazione: (2025)

PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association
di: Hannan, Abdul, et al.
Pubblicazione: (2025)

Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention
di: Leem, Saebom, et al.
Pubblicazione: (2024)

CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction
di: Chib, Pranav Singh, et al.
Pubblicazione: (2024)

VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
di: Banerjee, Soumya, et al.
Pubblicazione: (2023)

DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
di: Augustin, Maximilian, et al.
Pubblicazione: (2023)