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AlexNetImageNet Classification with Deep Convolutional Neural Networks , NeurIPS, 2012VGGNetsVery Deep Convolutional Networks for Large-Scale Image Recognition , 2014GoogLeNetGoing Deeper with Convolutions , 2014Inception-V3Rethinking the Inception Architecture for Computer Vision , 2015Inception-V4 and Inception-ResNetInception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , AAAI, 2016ResNetDeep Residual Learning for Image Recognition , 2015SqueezeNetSqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size , 2016ResNeXtAggregated Residual Transformations for Deep Neural Networks , CVPR, 2016Res2Net - Res2Net: A New Multi-scale Backbone Architecture , TPAMI, 2019ReXNetRethinking Channel Dimensions for Efficient Model Design , CVPR, 2020XceptionXception: Deep Learning with Depthwise Separable Convolutions , CVPR, 2016DenseNetDensely Connected Convolutional Networks , CVPR, 2016DLA - Deep Layer Aggregation , CVPR, 2017DPN - Dual Path Networks , NeurIPS, 2017NASNet-A - Learning Transferable Architectures for Scalable Image Recognition , CVPR, 2017PNasNet - Progressive Neural Architecture Search , ECCV, 2017MobileNetsMobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017MobileNetV2MobileNetV2: Inverted Residuals and Linear Bottlenecks , CVPR, 2018MobileNetV3Searching for MobileNetV3 , ICCV, 2019ShuffleNetShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices , CVPR, 2017ShuffleNetV2ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design , ECCV, 2018MnasNetMnasNet: Platform-Aware Neural Architecture Search for Mobile , CVPR, 2018GhostNetGhostNet: More Features from Cheap Operations , CVPR, 2019HRNet - Deep High-Resolution Representation Learning for Visual Recognition , TPAMI, 2019CSPNet - CSPNet: A New Backbone that can Enhance Learning Capability of CNN , CVPR, 2019EfficientNetEfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , ICML, 2019EfficientNetV2EfficientNetV2: Smaller Models and Faster Training , ICML, 2021RegNetDesigning Network Design Spaces , CVPR, 2020GPU-EfficientNets - Neural Architecture Design for GPU-Efficient Networks , 2020LambdaNetworks - LambdaNetworks: Modeling Long-Range Interactions Without Attention , ICLR, 2021RepVGG - RepVGG: Making VGG-style ConvNets Great Again , CVPR, 2021HardCoRe-NAS - HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search , ICML, 2021NFNet - High-Performance Large-Scale Image Recognition Without Normalization , ICML, 2021NF-ResNets - Characterizing signal propagation to close the performance gap in unnormalized ResNets , ICLR, 2021ConvMixerPatches are all you need? , 2021VGNetsEfficient CNN Architecture Design Guided by Visualization , ICME, 2022ConvNeXtA ConvNet for the 2020s , CVPR, 2022
Non-LocalNon-local Neural Networks , CVPR, 2017Squeeze-and-ExcitationSqueeze-and-Excitation Networks , CVPR, 2017Gather-ExciteGather-Excite: Exploiting Feature Context in Convolutional Neural Networks , NeurIPS, 2018CBAMCBAM: Convolutional Block Attention Module , ECCV, 2018SelectiveKernelSelective Kernel Networks , CVPR, 2019ECAECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks , CVPR, 2019GlobalContextGCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond , 2019ResNeSt - ResNeSt: Split-Attention Networks , 2020HaloNets - Scaling Local Self-Attention for Parameter Efficient Visual Backbones , 2021
R-CNN - Rich feature hierarchies for accurate object detection and semantic segmentation , CVPR, 2013Fast R-CNN - Fast R-CNN , ICCV, 2015Faster R-CNN - Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015YOLOv1 - You Only Look Once: Unified, Real-Time Object Detection , 2015SSD - SSD: Single Shot MultiBox Detector , ECCV, 2015FPN - Feature Pyramid Networks for Object Detection , 2016
FCNFully Convolutional Networks for Semantic Segmentation , CVPR, 2014UNetU-Net: Convolutional Networks for Biomedical Image Segmentation , MICCAI, 2015PSPNet - Pyramid Scene Parsing Network , CVPR, 2016DeepLabv3Rethinking Atrous Convolution for Semantic Image Segmentation , 2017DeepLabv3+Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , CVPR, 2018Mask R-CNN - Mask R-CNN , 2017
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