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awesome-dynamic-conditional-networks-cv
Overview of conditional computution and dynamic CNNs for computer vision, with a focus on reducing computational complexity
https://github.com/thomasverelst/awesome-dynamic-conditional-networks-cv
Last synced: 2 days ago
JSON representation
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Methods
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Depth-based methods
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Channel-based methods
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Spatial methods
- [pdf - Detection)
- [pdf - zhang/dnn-gating)
- [pdf - recognition-visual-attention)
- [pdf - cnn-matconvnet) [[caffe]](https://github.com/mfigurnov/perforated-cnn-caffe)
- [pdf - Attentional-Gating)
- [pdf - Detection)
- [pdf - zhang/dnn-gating)
- [pdf - AI-research/Skip-Conv)
- [pdf - research/sbnet)
- [pdf - Capacity-Network-Pytorch)
- [pdf - Attentional-Gating)
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Adaptive resolution methods
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Transformers
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Surveys / overviews
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Dynamic filters/weights
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Mixture of experts
Programming Languages