Residual Attention Network 80.5 95.2 CVPR2017 Xception 79 94.5 CVPR2017 MobileNet 70.6 - arXiv2017 PolyNet 82.64 96.55 CVPR2017 DPN 79 94.5 NIPS2017 Block-QNN 77.4 93.54 CVPR2018 CRU-Net 79.7 94.7 IJCAI2018 ShuffleNet 75.3 - CVPR2018 CondenseNet 73.8 91.7 CVPR2018 NasNet 82.7 96.2 CVPR2018 Mobil...
Residual Attention Network 80.5 95.2 CVPR2017 Xception 79 94.5 CVPR2017 MobileNet 70.6 - arXiv2017 PolyNet 82.64 96.55 CVPR2017 DPN 79 94.5 NIPS2017 Block-QNN 77.4 93.54 CVPR2018 CRU-Net 79.7 94.7 IJCAI2018 ShuffleNet 75.3 - CVPR2018 CondenseNet 73.8 91.7 CVPR2018 NasNet 82.7 96.2 CVPR2018 Mobil...
pytorch-image-models: PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more. CIFAR-ZOO: Pytorch implementation for multiple CNN architectures and improve methods with state-of-the-art results....
1752 MSDPN: Monocular Depth Prediction with Partial Laser Observation Using Multi-Stage Neural Networks 1753 Optimizing Coordinate Choice for Locomotion Systems with Toroidal Shape Spaces 1754 DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization 1755 Expert-Emulating Excavation Trajector...
采用CNNc+DPN 处理 ImageQA 任务,DPN 的参数根据给定问题动态生成 采用一个 Hash trick 对参数降维 通过在一个大的文本集上 fine-tune GRU,提升网路的泛化性能 首次同时在 DAQUAR, COCO-QA, VQA 上进行实验 作者认为,设定一组固定参数并不足以满足 VQA 任务。他们采用 VGG-16 网络架构,删除最终softmax 层,...
Residual Attention Network 80.5 95.2 CVPR2017 Xception 79 94.5 CVPR2017 MobileNet 70.6 - arXiv2017 PolyNet 82.64 96.55 CVPR2017 DPN 79 94.5 NIPS2017 Block-QNN 77.4 93.54 CVPR2018 CRU-Net 79.7 94.7 IJCAI2018 ShuffleNet 75.3 - CVPR2018 CondenseNet 73.8 91.7 CVPR2018 NasNet 82.7 96.2 CVPR2018 Mobil...
MS-CNN A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection intro: ECCV 2016 intro: 640×480: 15 fps, 960×720: 8 fps arxiv: http://arxiv.org/abs/1607.07155 github: https://github.com/zhaoweicai/mscnn poster: http://www.eccv2016.org/files/posters/P-2B-38...
Residual Attention Network 80.5 95.2 CVPR2017 Xception 79 94.5 CVPR2017 MobileNet 70.6 - arXiv2017 PolyNet 82.64 96.55 CVPR2017 DPN 79 94.5 NIPS2017 Block-QNN 77.4 93.54 CVPR2018 CRU-Net 79.7 94.7 IJCAI2018 ShuffleNet 75.3 - CVPR2018 CondenseNet 73.8 91.7 CVPR2018 NasNet 82.7 96.2 CVPR2018 Mobil...
code:unofficial-pytorch : https://github.com/rwightman/pytorch-dpn-pretrained Block-QNN Practical Block-wise Neural Network Architecture GenerationZhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu pdf:https://arxiv.org/abs/1708.05552 ...
IROS is one of the largest and most impacting robotics research conferences worldwide. It brings an international community of researchers, educators and practitioners to explore the frontier of science and technology in intelligent robots and systems, and discuss the latest advancements in this fast ...