Cover Image

Adopting a human developmental visual diet yields robust, shape-based AI vision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Zejin, Thorat, Sushrut, Cichy, Radoslaw M, Kietzmann, Tim C
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Predicting upcoming visual features during eye movements yields scene representations aligned with human visual cortex
by: Thorat, Sushrut, et al.
Published: (2025)

Keep Moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks
by: Anthes, Daniel, et al.
Published: (2023)

Self-supervised video pretraining yields robust and more human-aligned visual representations
by: Parthasarathy, Nikhil, et al.
Published: (2022)

Visual representations in the human brain are aligned with large language models
by: Doerig, Adrien, et al.
Published: (2022)

Path Integration and Object-Location Binding Emerge in an Action-Conditioned Predictive Sequence Network
by: Ventura, Linda Ariel, et al.
Published: (2026)

Sparks of cognitive flexibility: self-guided context inference for flexible stimulus-response mapping by attentional routing
by: Sommers, Rowan P., et al.
Published: (2025)

Net2Brain: A Toolbox to compare artificial vision models with human brain responses
by: Bersch, Domenic, et al.
Published: (2022)

Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
by: Rubanova, Yulia, et al.
Published: (2024)

Understanding vision transformer robustness through the lens of out-of-distribution detection
by: Kuang, Joey, et al.
Published: (2026)

BRAVE: Broadening the visual encoding of vision-language models
by: Kar, Oğuzhan Fatih, et al.
Published: (2024)

Sensory robustness through top-down feedback and neural stochasticity in recurrent vision models
by: Greco, Antonino, et al.
Published: (2025)

A comparison between humans and AI at recognizing objects in unusual poses
by: Ollikka, Netta, et al.
Published: (2024)

Brain-language fusion enables interactive neural readout and in-silico experimentation
by: Bosch, Victoria, et al.
Published: (2025)

Vision Transformer attention alignment with human visual perception in aesthetic object evaluation
by: Carrasco, Miguel, et al.
Published: (2025)

Diffusion Classifier Guidance for Non-robust Classifiers
by: Vaeth, Philipp, et al.
Published: (2025)

Spectral regularization for adversarially-robust representation learning
by: Yang, Sheng, et al.
Published: (2024)

Is it the model or the metric -- On robustness measures of deeplearning models
by: Lyu, Zhijin, et al.
Published: (2024)

Improving robustness to corruptions with multiplicative weight perturbations
by: Trinh, Trung, et al.
Published: (2024)

Are classical deep neural networks weakly adversarially robust?
by: Sun, Nuolin, et al.
Published: (2025)

A Fourier Space Perspective on Diffusion Models
by: Falck, Fabian, et al.
Published: (2025)

On the effectiveness of multimodal privileged knowledge distillation in two vision transformer based diagnostic applications
by: Baur, Simon, et al.
Published: (2025)

Aspect-Based Few-Shot Learning
by: van Engeland, Tim, et al.
Published: (2024)

Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
by: Fort, Stanislav, et al.
Published: (2024)

CommCP: Efficient Multi-Agent Coordination via LLM-Based Communication with Conformal Prediction
by: Zhang, Xiaopan, et al.
Published: (2026)

Buffer replay enhances the robustness of multimodal learning under missing-modality
by: Zhu, Hongye, et al.
Published: (2025)

Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AI
by: Godau, Patrick, et al.
Published: (2024)

Noise & pattern: identity-anchored Tikhonov regularization for robust structural anomaly detection
by: Bauer, Alexander, et al.
Published: (2025)

Cross-modal feature fusion for robust point cloud registration with ambiguous geometry
by: Wang, Zhaoyi, et al.
Published: (2025)

Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
by: Zhang, Jiacheng, et al.
Published: (2024)

Two out of Three (ToT): using self-consistency to make robust predictions
by: Lee, Jung Hoon, et al.
Published: (2025)

Represented Is Not Computed: A Causal Test of Candidate Algorithmic Intermediates in a Transformer
by: Darade, Ishita, et al.
Published: (2026)

MULTIAQUA: A multimodal maritime dataset and robust training strategies for multimodal semantic segmentation
by: Muhovič, Jon, et al.
Published: (2025)

A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs
by: Stalder, Nicolas, et al.
Published: (2026)

DFU: scale-robust diffusion model for zero-shot super-resolution image generation
by: Havrilla, Alex, et al.
Published: (2023)

MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling
by: Zbinden, Robin, et al.
Published: (2025)

Adaptive few-shot learning for robust part quality classification in two-photon lithography
by: Jia, Sixian, et al.
Published: (2026)

Self-supervised visual learning from interactions with objects
by: Aubret, Arthur, et al.
Published: (2024)

Contrastive vision-language learning with paraphrasing and negation
by: Ngan, Kwun Ho, et al.
Published: (2025)

Global urban visual perception varies across demographics and personalities
by: Quintana, Matias, et al.
Published: (2025)

Using Machine Learning for move sequence visualization and generation in climbing
by: Rimbot, Thomas, et al.
Published: (2025)