Research map / Architectures and efficiency / CNN design
Warped Convolutions: Efficient Invariance to Spatial Transformations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add log-polar warp (scale and rotation) before standard CNN | CNN+softargmax on Google Earth · Google Earth | rotation error (degrees): 9.36 -> 8.29 | Helped |
| add log-polar warp before CNN | CNN+softargmax on Google Earth · Google Earth | scale error (pixels): 4.87 -> 4.79 | Helped |
| replace soft argmax with fully-connected layer (ablation) | Warped CNN architecture on Google Earth · Google Earth | rotation error (degrees): 8.29 -> 22.54 | Hurt |
| add 3D sphere warp before CNN with soft argmax | face pose estimation · AFLW | yaw error (degrees): 12.56 -> 7.07 vs CNN+FC | Helped |
| add 3D sphere warp before CNN with soft argmax | face pose estimation · AFLW | pitch error (degrees): 6.59 -> 5.28 vs CNN+FC | Helped |
| Dieleman-style discrete 90-degree rotations and flips instead of continuous warp | Google Earth · Google Earth | scale error (pixels): 4.79 -> 4.29 (baseline better) | Helped |
Closest papers by meaning
- On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location (CVPR 2020 · similarity 0.88)
- Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution (ICLR 2023 · similarity 0.87)
- Non-Parametric Transformation Networks for Learning General Invariances from Data (AAAI 2019 · similarity 0.87)
- Scale-Equivariant Steerable Networks (ICLR 2020 · similarity 0.87)
- An intriguing failing of convolutional neural networks and the CoordConv solution (NeurIPS 2018 · similarity 0.87)
- Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers (ICML 2024 · similarity 0.85)
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