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1/t衰减/1/t decay 2FA ACNet AML(approximate max-pooling localization) AdaGrad Adam AlexNet Angular Loss AutoAugment BCELoss/二元交叉熵损失/Binary Cross Entropy Loss Baidu Boost Graph Library/BGL C3D CCPD CCPD/Chinese City Parking Dataset CLIP/Contrastive Language-Image Pre-Training/对比语言图像预训练 CNN宏架构/CNN macroarchitecture CNN微架构/CNN microarchitecture CTC loss ChatGPT ChatGPT for Google Chinese License Plates dataset ChineseCLIP Chrome Close-set/闭集 ConvNeXt CroW/cross-dimensional weighting and pooling Cutmix DBSCAN/the density-based spatial clustering of applications with noise DVC Database-side augmentation/DBA/数据端增强 DenseNet EMA/Exponential Moving Average/指数滑动平均 EfficientNet EfficientNet-lite EfficientNetV2 FSP Matrix FaceNet Fast AutoAugment Fast R-CNN Faster R-CNN FitNets Focal Loss Function Calling Fuzed-MBconv GELU/Gaussian Error Linear Unit GIoU/Generalized Intersection over Union GeM/generalized-mean/广义平均池化 General Pair Weighting/GPW/通用成对加权 GhostNet Github GoogLeNet Google Google Code Style Google Test Google landmark dataset (GLD) v1 Google landmark dataset (GLD) v2 Gradio HMDB Inception Inception-ResNet Inverted Bottleneck Jacobian矩阵/Jacobian matrix Jetson AGX Xavier KR/knowledge review/知识复习 Kinetics L2归一化/L2-Normalize LAION-2B LAION-400M LAION-5B LLM/Large Language Model/大型语言模型 LLM/大语言模型/Large Language Model LN/Layer Normalization LRPNet LeNet-5 LiT/Locked-image Tuning Listwise loss LiteLLM LocNet MA MAC/maximum activations of convolutions MSELoss/均方差损失/Mean Squared Error Loss Mixup MnasNet MobileNet Multi-similarity loss/MS loss/多重相似性损失 MultiGrain N-pair Loss NIN/Network In Network Natural Language Supervision/自然语言监督 Nesterov加速梯度/nesterov's accelerated gradient/NAG Netscope CNN Analyzer Network Slimming Non-local OFD OKR/Objectives and Key Results/目标与关键结果 Open-set/开集 OpenAI OpenCLIP OpenDVC Overhaul PCA whitening/PCA白化 PCA whitening/PCA白化 PETA PPM/Portable Pixel Map/便携式像素地图 PR曲线/PR curve/精确-召回曲线/precise-recall curve Penn-Fudan Progressive learning/渐近式学习 PyRetri R-CNN/regions with CNN features/具有CNN特征的区域 R-MAC/regional maximum activation of convolutions RA/Repeated Augment/重复采样 RAP RFD RKNN RMSProp ROC曲线/ROC curve/受试者工作特征曲线/receiver operating characteristic curve RPN/region proposal network/区域建议网络 RPnet/Roadside Parking net RandAugment Rank loss/排序损失 ResNeSt ResNet ResNetXt ResVGG RetinaNet RoI Pooling SENet/squeeze-and-excitation network SKNet/selective kernel network SPP SPP-net SPPF SPoC descriptors/SPoC描述符 SSD SSD/single shot multibox detector SSDLite STL ShuffleNet ShuffleNetV2 SlowFast Split-Attention Networks SqueezeNet Swin Transformer T3D TRN/temporal relation network TSM/temporal shift module TSN/temporal segment network TinyNet Tool Calling UCF101 VGGNet ViT/Vision Transformer Vision Transformer WiderFace Wing loss X3D YOLACT/you only look at coefficients YOLO/you only look once YOLO5Face YOLO9000 YOLOv1 YOLOv2 YOLOv3 YOLOv5 YOLOv8 ZFNet act_runner albumentation attention transfer/注意力迁移 bidirectional LSTM c++ canny celery chevereto ci&cd cifar10 cifar100 clang-format clion cmake coco cocoapi coding csdn dali darknet19 darknet53 deepseek detectron2 dify docker docker-compose dockerfile f1 score fashion mnist fcn-resnet101 flask flops fps git