|
Abstract# 
|
Poster Title
|
First Author
| |
56.412
|
Identifying the visual features of European Paleolithic cave paintings that are diagnostic of category, age, and location
|
Tomz, David
|
|
56.413
|
Three-dimensional shape cues affect human and artificial recognition systems differently
|
Baker, Nicholas
|
|
56.414
|
A deeper look into occlusion types and their impact on object recognition models
|
King, Courtney M.
|
|
56.415
|
Better Models Through Worse Images: Degradation Training Helps Align CNNs with Humans
|
Parde, Connor
|
|
56.416
|
Critical Viewing Distance for Object Recognition under Degraded Vision
|
Jin, Rui
|
|
56.417
|
A Geometric Framework for Testing Euclidean and Hyperbolic Structure in Neural Visual Representations
|
Chen, Yifei E.
|
|
56.418
|
When Models See Wholes: A Mechanistic Account of Holistic Processing in Deep Vision Models
|
Doshi, Fenil
|
|
56.419
|
Adopting a human developmental visual diet yields robust and shape-based AI vision
|
Lu, Zejin
|
|
56.420
|
Exploring Individual Differences in DNN Representations
|
Peng, Yinuo
|
|
56.421
|
Natural shape features facilitate object representation in cortical area V4 and artificial neural networks
|
Wube, Dagmawi N.
|
|
56.422
|
Task-Driven Recurrent Demands Reduce ANN Alignment with Primate IT
|
Fide, Ezgi
|
|
56.423
|
The Impact of Recurrent Circuitry on Emergent Orthogonal Category Structure in Deep Vision Models
|
Luo, Kexin Cindy
|
|
56.424
|
Object and Scene Recognition Abilities Predict the Content and Quality of Image Descriptions
|
Mueller, Melina O.
|
|
56.425
|
The SHINIER the Better: An Adaptation of the SHINE Toolbox on Python
|
Salvas-Hébert, Mathias
|
