TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks

Research article (2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016) · cited 254× · AI/ML
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TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks

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TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/ti-pooling-transformation-invariant-pooling-for-feature-learning-in-convolutional-neural-networks
MLA “TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ti-pooling-transformation-invariant-pooling-for-feature-learning-in-convolutional-neural-networks.
BibTeX @misc{4ortxyz_ti-pooling-transformation-invariant-pooling-for-feature-learning-in-convolutional-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/ti-pooling-transformation-invariant-pooling-for-feature-learning-in-convolutional-neural-networks}, note = {Accessed: 2026-05-24}}
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