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cs.CV2023
GELDA: A generative language annotation framework to reveal visual biases in datasets
Krish Kabra, Kathleen M. Lewis, Guha Balakrishnan
Bias analysis is a crucial step in the process of creating fair datasets for training and evaluating computer vision models. The bottleneck in dataset analysis is annotation, which…
cs.CV2023
F?D: On understanding the role of deep feature spaces on face generation evaluation
Krish Kabra, Guha Balakrishnan
Perceptual metrics, like the Fréchet Inception Distance (FID), are widely used to assess the similarity between synthetically generated and ground truth (real) images. The key idea…
cs.CV2022
Deep object detection for waterbird monitoring using aerial imagery
Krish Kabra, Alexander Xiong, Wenbin Li +11
Monitoring of colonial waterbird nesting islands is essential to tracking waterbird population trends, which are used for evaluating ecosystem health and informing conservation man…