565 citations · 1.3k across the 8 of their papers we have counts for
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cs.CV2022★ 6 cited
Efficient Graph-Friendly COCO Metric Computation for Train-Time Model Evaluation
Luke Wood, Francois Chollet
Evaluating the COCO mean average precision (MaP) and COCO recall metrics as part of the static computation graph of modern deep learning frameworks poses a unique set of challenges…
cs.CV2016★ 355 cited
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolut…
cs.CV2016★ 13 cited
Information-theoretical label embeddings for large-scale image classification
François Chollet
We present a method for training multi-label, massively multi-class image classification models, that is faster and more accurate than supervision via a sigmoid cross-entropy loss…