Copertina

The Power of Properties: Uncovering the Influential Factors in Emotion Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Büchner, Tim, Penzel, Niklas, Guntinas-Lichius, Orlando, Denzler, Joachim
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions
di: Büchner, Tim, et al.
Pubblicazione: (2024)

JeFaPaTo -- A joint toolbox for blinking analysis and facial features extraction
di: Büchner, Tim, et al.
Pubblicazione: (2024)

Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis
di: Büchner, Tim, et al.
Pubblicazione: (2025)

Let's Get the FACS Straight -- Reconstructing Obstructed Facial Features
di: Büchner, Tim, et al.
Pubblicazione: (2023)

Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients
di: Penzel, Niklas, et al.
Pubblicazione: (2025)

Reducing Bias in Pre-trained Models by Tuning while Penalizing Change
di: Penzel, Niklas, et al.
Pubblicazione: (2024)

When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out
di: Piater, Tristan, et al.
Pubblicazione: (2024)

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
di: Schmalwasser, Laines, et al.
Pubblicazione: (2025)

Saccadic Vision for Fine-Grained Visual Classification
di: Schmidt, Johann, et al.
Pubblicazione: (2025)

Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain
di: Han, Dong, et al.
Pubblicazione: (2024)

KAN See Your Face
di: Han, Dong, et al.
Pubblicazione: (2024)

Exploiting Text-Image Latent Spaces for the Description of Visual Concepts
di: Schmalwasser, Laines, et al.
Pubblicazione: (2024)

Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
di: Venkataramanan, Aishwarya, et al.
Pubblicazione: (2025)

Realistic Face Reconstruction from Facial Embeddings via Diffusion Models
di: Han, Dong, et al.
Pubblicazione: (2026)

Gradient Extrapolation for Debiased Representation Learning
di: Asaad, Ihab, et al.
Pubblicazione: (2025)

Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing
di: Han, Dong, et al.
Pubblicazione: (2024)

IPNET:Influential Prototypical Networks for Few Shot Learning
di: Chowdhury, Ranjana Roy, et al.
Pubblicazione: (2022)

Cross-modal Counterfactual Explanations: Uncovering Decision Factors and Dataset Biases in Subjective Classification
di: Baia, Alina Elena, et al.
Pubblicazione: (2025)

Emotion Classification of Children Expressions
di: Vivekananthan, Sanchayan
Pubblicazione: (2024)

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs
di: Dorer, Simon, et al.
Pubblicazione: (2026)

RamanSeg: Interpretability-driven Deep Learning on Raman Spectra for Cancer Diagnosis
di: Tomy, Chris, et al.
Pubblicazione: (2026)

Intriguing Properties of Robust Classification
di: Prach, Bernd, et al.
Pubblicazione: (2024)

KAM -- a Kernel Attention Module for Emotion Classification with EEG Data
di: Kuang, Dongyang, et al.
Pubblicazione: (2022)

Discovering Influential Neuron Path in Vision Transformers
di: Wang, Yifan, et al.
Pubblicazione: (2025)

VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
di: Wang, Lehan, et al.
Pubblicazione: (2025)

Affective Image Editing: Shaping Emotional Factors via Text Descriptions
di: Zhang, Peixuan, et al.
Pubblicazione: (2025)

Harnessing the Power of Local Representations for Few-Shot Classification
di: Tang, Shi, et al.
Pubblicazione: (2024)

Harnessing the Power of Foundation Models for Accurate Material Classification
di: Lin, Qingran, et al.
Pubblicazione: (2026)

Harnessing The Power of Attention For Patch-Based Biomedical Image Classification
di: Habib, Gousia, et al.
Pubblicazione: (2024)

Analyzing Image Beyond Visual Aspect: Image Emotion Classification via Multiple-Affective Captioning
di: Zhou, Zibo, et al.
Pubblicazione: (2025)

DNA: Uncovering Universal Latent Forgery Knowledge
di: Dou, Jingtong, et al.
Pubblicazione: (2026)

Learning Lane Graphs from Aerial Imagery Using Transformers
di: Büchner, Martin, et al.
Pubblicazione: (2024)

Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification
di: Liu, Haixia, et al.
Pubblicazione: (2024)

Uncovering the Full Potential of Visual Grounding Methods in VQA
di: Reich, Daniel, et al.
Pubblicazione: (2024)

PREGEN: Uncovering Latent Thoughts in Composed Video Retrieval
di: Serussi, Gabriele, et al.
Pubblicazione: (2026)

Uncovering Cultural Representation Disparities in Vision-Language Models
di: Kadiyala, Ram Mohan Rao, et al.
Pubblicazione: (2025)

Self-Supervised Federated Learning under Data Heterogeneity for Label-Scarce Diatom Classification
di: Tan, Mingkun, et al.
Pubblicazione: (2026)

GiMeFive: Towards Interpretable Facial Emotion Classification
di: Wang, Jiawen, et al.
Pubblicazione: (2024)

PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos
di: Cao, Meng, et al.
Pubblicazione: (2024)

Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals
di: Howard, Phillip, et al.
Pubblicazione: (2024)