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References from Spectral-Adaptive Modulation Networks for Visual Perception. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · External reference
10.1145/3065386
10.1145/3065386 · External reference
Very deep convolutional networks for large-scale image recognition
2014 · External reference
10.4324/9781410605337-29
10.4324/9781410605337-29 · External reference
An image is worth 16x16 words: Transformers for image recognition at scale
External reference
Training data-efficient image transformers & distillation through attention
External reference
10.1109/iccv48922.2021.00009
10.1109/iccv48922.2021.00009 · External reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · External reference
10.1109/cvpr46437.2021.01270
10.1109/cvpr46437.2021.01270 · External reference
10.1007/978-3-030-58452-8_13
10.1007/978-3-030-58452-8_13 · External reference
Deformable DETR: Deformable transformers for end-to-end object detection
External reference
10.5244/c.35.204
10.5244/c.35.204 · External reference
10.1109/cvpr46437.2021.00542
10.1109/cvpr46437.2021.00542 · External reference
10.1109/cvpr46437.2021.00863
10.1109/cvpr46437.2021.00863 · External reference
10.1145/3552458.3556443
10.1145/3552458.3556443 · External reference
10.1109/iccvw54120.2021.00355
10.1109/iccvw54120.2021.00355 · External reference
10.1109/cvpr46437.2021.00162
10.1109/cvpr46437.2021.00162 · External reference
10.1109/cvpr52688.2022.00306
10.1109/cvpr52688.2022.00306 · External reference
Intriguing properties of vision transformers
External reference
Are convolutional neural networks or transformers more like human vision?
2021 · External reference
10.5244/c.35.79
10.5244/c.35.79 · External reference
10.1109/cvpr52688.2022.01173
10.1109/cvpr52688.2022.01173 · External reference
Twins: Revisiting the design of spatial attention in vision transformers
2021 · External reference
10.1109/iccv48922.2021.00060
10.1109/iccv48922.2021.00060 · External reference
10.1109/iccv48922.2021.00061
10.1109/iccv48922.2021.00061 · External reference
10.1109/cvpr52688.2022.01181
10.1109/cvpr52688.2022.01181 · External reference
MLP-mixer: An all-MLP architecture for vision
External reference
10.1109/tpami.2022.3145427
10.1109/tpami.2022.3145427 · External reference
10.1109/tpami.2022.3206148
10.1109/tpami.2022.3206148 · External reference
10.1109/cvpr52688.2022.01066
10.1109/cvpr52688.2022.01066 · External reference
10.1109/tpami.2023.3303397
10.1109/tpami.2023.3303397 · External reference
FNet: Mixing tokens with fourier transforms
2022 · External reference
10.1109/tpami.2023.3263824
10.1109/tpami.2023.3263824 · External reference
10.1609/aaai.v38i14.29457
10.1609/aaai.v38i14.29457 · External reference
10.52202/068431-0603
10.52202/068431-0603 · External reference
Image as set of points
2023 · External reference
10.52202/075280-2797
10.52202/075280-2797 · External reference
ResNet strikes back: An improved training procedure in timm
2021 · External reference
10.1109/cvpr52688.2022.01167
10.1109/cvpr52688.2022.01167 · External reference
10.1109/cvpr52688.2022.01166
10.1109/cvpr52688.2022.01166 · External reference
More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity
External reference
10.1109/tpami.2024.3401450
10.1109/tpami.2024.3401450 · External reference
10.52202/068431-0752
10.52202/068431-0752 · External reference
10.1109/cvpr52729.2023.01385
10.1109/cvpr52729.2023.01385 · External reference
10.1109/tpami.2023.3329173
10.1109/tpami.2023.3329173 · External reference
10.1109/tpami.2023.3282631
10.1109/tpami.2023.3282631 · External reference
CoAtNet: Marrying convolution and attention for all data sizes
External reference
A battle of network structures: An empirical study of CNN, transformer, and MLP
2021 · External reference
10.1007/s11263-022-01739-w
10.1007/s11263-022-01739-w · External reference
10.52202/068431-1057
10.52202/068431-1057 · External reference
How do vision transformers work?
External reference
10.1007/978-3-031-20053-3_1
10.1007/978-3-031-20053-3_1 · External reference
Anti-oversmoothing in deep vision transformers via the fourier domain analysis: From theory to practice
2022 · External reference
10.1109/cvpr42600.2020.00871
10.1109/cvpr42600.2020.00871 · External reference
10.52202/068431-1016
10.52202/068431-1016 · External reference
Revealing the dark secrets of extremely large kernel convnets on robustness
External reference
10.1109/iccv51070.2023.00562
10.1109/iccv51070.2023.00562 · External reference
10.1109/cvpr.2009.5206848
10.1109/cvpr.2009.5206848 · External reference
10.1007/978-3-319-10602-1_48
10.1007/978-3-319-10602-1_48 · External reference
10.1109/cvpr.2017.544
10.1109/cvpr.2017.544 · External reference
10.48550/arxiv.1706.03762
10.48550/arxiv.1706.03762 · External reference
10.1109/iccv48922.2021.00988
10.1109/iccv48922.2021.00988 · External reference
Blending anti-aliasing into vision transformer
External reference
10.1088/1742-5468/ac9830
10.1088/1742-5468/ac9830 · External reference
10.1109/cvpr52688.2022.01186
10.1109/cvpr52688.2022.01186 · External reference
CycleMLP: A MLP-like architecture for dense prediction
2022 · External reference
Sparse and continuous attention mechanisms
External reference
10.18653/v1/2022.acl-long.375
10.18653/v1/2022.acl-long.375 · External reference
10.1609/aaai.v36i2.20142
10.1609/aaai.v36i2.20142 · External reference
10.1109/iccv.2019.00718
10.1109/iccv.2019.00718 · External reference
10.1109/cvpr52688.2022.01055
10.1109/cvpr52688.2022.01055 · External reference
10.1109/iccv.2019.00353
10.1109/iccv.2019.00353 · External reference
10.1109/te.1969.4320436
10.1109/te.1969.4320436 · External reference
10.1109/nssmic.1993.373563
10.1109/nssmic.1993.373563 · External reference
10.1109/iccv51070.2023.00556
10.1109/iccv51070.2023.00556 · External reference
10.1109/msp.2012.2235192
10.1109/msp.2012.2235192 · External reference
Analyzing the expressive power of graph neural networks in a spectral perspective
External reference
Unresolved reference
1997 · External reference
10.1109/cvpr.2015.7298681
10.1109/cvpr.2015.7298681 · External reference
10.52202/068431-2197
10.52202/068431-2197 · External reference
10.52202/068431-1057
10.52202/068431-1057 · External reference
10.52202/075280-0181
10.52202/075280-0181 · External reference
10.52202/068431-0304
10.52202/068431-0304 · External reference
10.1109/cvpr52733.2024.00542
10.1109/cvpr52733.2024.00542 · External reference
Graph-structured data viewed through a fourier lens
2014 · External reference
10.1109/icip.2013.6738172
10.1109/icip.2013.6738172 · External reference
Gaussian error linear units (GELUs)
2016 · External reference
PyTorch: An imperative style, high-performance deep learning library
External reference
Imagenet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
External reference
10.1007/978-3-031-72646-0_23
10.1007/978-3-031-72646-0_23 · External reference
10.1007/978-3-031-20053-3_27
10.1007/978-3-031-20053-3_27 · External reference
mixup: Beyond empirical risk minimization
External reference
10.1109/iccv.2019.00612
10.1109/iccv.2019.00612 · External reference
10.1609/aaai.v34i07.7000
10.1609/aaai.v34i07.7000 · External reference
10.1109/cvprw50498.2020.00359
10.1109/cvprw50498.2020.00359 · External reference
10.1109/cvpr.2016.308
10.1109/cvpr.2016.308 · External reference
10.1007/978-3-319-46493-0_39
10.1007/978-3-319-46493-0_39 · External reference
Multigrain: A unified image embedding for classes and instances
2019 · External reference
10.1109/cvpr42600.2020.00815
10.1109/cvpr42600.2020.00815 · External reference
10.1109/iccv48922.2021.00010
10.1109/iccv48922.2021.00010 · External reference
Normformer: Improved transformer pretraining with extra normalization
2021 · External reference
Adam: A method for stochastic optimization
2014 · External reference
Decoupled weight decay regularization
External reference
Large batch optimization for deep learning: Training bert in 76 minutes
2019 · External reference
PyTorch image models
2019 · External reference
10.1109/iccv.2017.322
10.1109/iccv.2017.322 · External reference
10.1109/cvpr.2018.00644
10.1109/cvpr.2018.00644 · External reference
Understanding the difficulty of training deep feedforward neural networks
External reference
MMDetection: Open MMLab detection toolbox and benchmark
2019 · External reference
10.1007/978-3-030-01228-1_26
10.1007/978-3-030-01228-1_26 · External reference
10.1109/cvpr.2019.00656
10.1109/cvpr.2019.00656 · External reference
MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark
2020 · External reference
Exploring the limits of transfer learning with a unified text-to-text transformer
2020 · External reference
Palm: Scaling language modeling with pathways
2023 · External reference
Toolbox of model-vs-human
2021 · External reference
10.1109/cvprw50498.2020.00020
10.1109/cvprw50498.2020.00020 · External reference
Vision mamba: Efficient visual representation learning with bidirectional state space model
External reference
10.52202/079017-3273
10.52202/079017-3273 · External reference
