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cs.CV2025
Token-Based Detection of Spurious Correlations in Vision Transformers
Solha Kang, Esla Timothy Anzaku, Wesley De Neve +4
Due to their powerful feature association capabilities, neural network-based computer vision models have the ability to detect and exploit unintended patterns within the data, pote…
cs.CV2025
The Impact of the Single-Label Assumption in Image Recognition Benchmarking
Esla Timothy Anzaku, Seyed Amir Mousavi, Arnout Van Messem +1
Deep neural networks (DNNs) are typically evaluated under the assumption that each image has a single correct label. However, many images in benchmarks like ImageNet contain multip…
cs.CV2024
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement
Esla Timothy Anzaku, Hyesoo Hong, Jin-Woo Park +6
Large-scale datasets for single-label multi-class classification, such as \emph{ImageNet-1k}, have been instrumental in advancing deep learning and computer vision. However, a crit…