Research map / Detection and segmentation / CNN features
Composite Binary Decomposition Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Transfer full-precision ResNet-18 to CBDNet | ResNet-18 · ImageNet val | top-1 accuracy (%): 66.41 -> 65.27 | Hurt |
| Transfer full-precision VGG-16 to CBDNet | VGG-16 · ImageNet val | top-5 accuracy (%): 88.44 -> 87.81 | Hurt |
| Transfer full-precision DenseNet-121 to CBDNet | DenseNet-121 · ImageNet val | top-1 accuracy (%): 74.41 -> 73.13 | Hurt |
| Use CBDNet instead of BWD | ResNet-152 · ImageNet val | top-5 accuracy (%): 90.25 -> 91.61 | Helped |
| Use CBDNet instead of BWD | VGG-16 · ImageNet val | top-5 accuracy (%): 86.28 -> 87.81 | Helped |
| Transfer SSD300 to CBDNet | SSD300 · VOC 2007 test | mAP: 1.34% | Hurt |
| Transfer SegNet to CBDNet | SegNet · Cityscapes val, 11 classes | mIOU: 0.8% | Hurt |
| Use CBDNet instead of BWD | SegNet · Cityscapes val, 11 classes | mIOU: more than 2.75% | Helped |
| Use CBDNet instead of BWD | VGG-16 · VGG-16 conv layer, projected to network | speedup: 2.07× -> 4.02× | Helped |
Closest papers by meaning
- A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks (CVPR 2019 · similarity 0.86)
- Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming (NeurIPS 2024 · similarity 0.84)
- Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping (AAAI 2023 · similarity 0.84)
- Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks (NeurIPS 2019 · similarity 0.83)
- Training binary neural networks with real-to-binary convolutions (ICLR 2020 · similarity 0.83)
- BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks? (AAAI 2026 · similarity 0.83)
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