模型列表
| 序号 | 模型名称 | 序号 | 模型名称 | 
|---|---|---|---|
| 1 | 2S-AGCN | 165 | MSGAN | 
| 2 | 3D AttentionNet | 166 | MSPN | 
| 3 | 3D Nested_UNet | 167 | MTCNN | 
| 4 | 3D Resnet | 168 | Multi-Gradient_Descent | 
| 5 | 3DUNet | 169 | MultiPoseNet | 
| 6 | ACGAN-Mod-Big-TAC | 170 | Mutual-Channel-Loss | 
| 7 | ADACOS | 171 | MutualNet | 
| 8 | ADLayer | 172 | NAS-SEGM | 
| 9 | Advanced East | 173 | nest_small | 
| 10 | Adversarial Autoencoder | 174 | NeuMF | 
| 11 | Adversarial_Long-Tail | 175 | nf_resnet26 | 
| 12 | AFN | 176 | NFM | 
| 13 | AlexNet | 177 | nfnet_f1s | 
| 14 | AMDIM | 178 | NFNet-F | 
| 15 | ANTIALIASED-CNNS | 179 | NF-ResNet | 
| 16 | Attention R2U-Net | 180 | N-Gran | 
| 17 | Attention U_Net | 181 | Non-Local | 
| 18 | AUTOAUGMENT | 182 | NTS-Net | 
| 19 | Autodeeplab | 183 | ONN | 
| 20 | AutoInt | 184 | OpenPose | 
| 21 | axial-deeplab | 185 | opl | 
| 22 | BDL | 186 | ORDERED-NEURONS | 
| 23 | BEGAN | 187 | PASSRnet | 
| 24 | beit_base_patch16_224 | 188 | PFF | 
| 25 | BERT-ITPT-FiT | 189 | PICANET | 
| 26 | BICYCLEGAN | 190 | Pixel-BERT(VQA) | 
| 27 | BigGAN-Mod-CR | 191 | PixelDA | 
| 28 | BigGAN-Mod-DiffAug | 192 | PixelLink | 
| 29 | BiT-M-R50x1 | 193 | PNet | 
| 30 | BiT-S-R101x1 | 194 | PointNet++ | 
| 31 | BiT-S-R50x1 | 195 | POSE-TRANSFER | 
| 32 | BiT-S-R50x3 | 196 | PPN | 
| 33 | botnet26t_256 | 197 | PPON | 
| 34 | Bottleneck Transformers | 198 | PreactResNet50 | 
| 35 | Boundary-Seeking GAN | 199 | PROSR | 
| 36 | BYOL | 200 | PSENet | 
| 37 | CaaM | 201 | PVANet | 
| 38 | CausalHTP | 202 | Pysot | 
| 39 | CGAN | 203 | R2U-Net | 
| 40 | CIConv | 204 | RAFT | 
| 41 | CMC | 205 | RANet | 
| 42 | CoaT | 206 | RCAN | 
| 43 | coat_mini | 207 | RCNN | 
| 44 | CondenseNetV2 | 208 | RecVAE | 
| 45 | Context Encoder | 209 | RefineNet | 
| 46 | Context-Conditional GAN | 210 | regnet | 
| 47 | ContraGAN | 211 | regnetx_002 | 
| 48 | ContraGAN-CR | 212 | RegNetX-1.6GF | 
| 49 | ContraGAN-DiffAug | 213 | regnety_064 | 
| 50 | convit_small | 214 | RegNetY-1.6GF | 
| 51 | Convit-tiny | 215 | ReID | 
| 52 | coral-cnn | 216 | Relativistic GAN | 
| 53 | COSMIC | 217 | repvgg | 
| 54 | Coupled GAN | 218 | repvgg_a2 | 
| 55 | CPC | 219 | repvgg_b0 | 
| 56 | csp-resnet50 | 220 | Res2Net | 
| 57 | DCNMix | 221 | RES2NET-PRETRAINEDMODELS | 
| 58 | Deep & Cross Network | 222 | residual_adapters | 
| 59 | Deep Convolutional GAN | 223 | ResMLP | 
| 60 | DeepFM | 224 | ResNeSt | 
| 61 | DEEPHYPERX | 225 | ResNet101 | 
| 62 | DeeplabV3+ | 226 | ResNet152 | 
| 63 | DeeplabV3+(Xception-JFT) | 227 | ResNet18 | 
| 64 | DeepMar | 228 | ResNet34 | 
| 65 | Deit | 229 | ResNet50 | 
| 66 | Densenet121 | 230 | resnet61q | 
| 67 | DenseNet161 | 231 | resnetv2_101 | 
| 68 | DenseNet169 | 232 | resnetv2_50t | 
| 69 | DenseNet201 | 233 | Resnext101 | 
| 70 | dgc | 234 | Resnext101_32x8d | 
| 71 | DIFM | 235 | Resnext50 | 
| 72 | DINO | 236 | ResNeXt-50-32x4d | 
| 73 | DiscoGAN | 237 | Retinanet | 
| 74 | dla34 | 238 | rexnet | 
| 75 | DnCNN | 239 | RNet | 
| 76 | DoReFa-Net | 240 | RRN | 
| 77 | Double-DIP | 241 | SAN | 
| 78 | DPC | 242 | SC-SfMLearner | 
| 79 | DPL | 243 | S-DCNET | 
| 80 | DRAGAN | 244 | SegNet | 
| 81 | DualGAN | 245 | sehalonet33ts | 
| 82 | DYNABERT | 246 | SelecSLS | 
| 83 | EAST | 247 | Self-Attention-GAN | 
| 84 | ECA-NFNet-L0 | 248 | Semi-Supervised GAN | 
| 85 | EDSR | 249 | semnasnet_050 | 
| 86 | efficientnet_b8 | 250 | SENet | 
| 87 | efficientnet_l2 | 251 | seresnet18 | 
| 88 | Efficientnet-B0 | 252 | SE-ResNet-50 | 
| 89 | EfficientNet-B1 | 253 | Se-ResNext-50-32x4d | 
| 90 | EfficientNet-B2 | 254 | SETR | 
| 91 | EfficientNet-B4 | 255 | SGCN | 
| 92 | EfficientNet-b6 | 256 | SGNAS | 
| 93 | EfficientNet-b7 | 257 | Shufflenetv2 | 
| 94 | Enhanced Super-Resolution GAN | 258 | SiamRPN | 
| 95 | ESRGAN | 259 | SimplePose | 
| 96 | EXTD | 260 | sknet | 
| 97 | FACEBOXES-PYTORCH | 261 | SOF-VSR | 
| 98 | FairDARTS | 262 | SpanBERT | 
| 99 | FBNet-C | 263 | Speech Transformer | 
| 100 | fbnetc_100 | 264 | SPSR | 
| 101 | fbnetv3_b | 265 | SqueezeNet1_0 | 
| 102 | FCN | 266 | SqueezeNet1_1 | 
| 103 | FD-GAN | 267 | SRCNN | 
| 104 | FIBINET | 268 | SSD_MobileNetV2 | 
| 105 | FixMatch | 269 | SSD_MobileNetV3 | 
| 106 | FOTS | 270 | SSD-Mobilenet | 
| 107 | FREE | 271 | SSL-FEW-SHOT | 
| 108 | GAN | 272 | STARGAN | 
| 109 | GCANET | 273 | STGCN | 
| 110 | GENet | 274 | StochasticDepth50 | 
| 111 | gernet_s | 275 | SUPCONTRAST | 
| 112 | GGAG | 276 | Super-Resolution GAN | 
| 113 | GGAN | 277 | SUPERVISION-BY-REGISTRATION | 
| 114 | Glu-Mixer | 278 | SWAV | 
| 115 | gluon_senet154 | 279 | Swin Transformer | 
| 116 | gluon_seresnext101_32x4d | 280 | Tacotron2 | 
| 117 | gluon_xception | 281 | tnt_s_patch16_224 | 
| 118 | gmlp | 282 | TOD | 
| 119 | gmlp_s16_224 | 283 | Transformer-iN-Transformer | 
| 120 | GoogleNet | 284 | TransformerXL | 
| 121 | GPU-efficient networks | 285 | TrellisNET | 
| 122 | GreedyInfoMax | 286 | Twins | 
| 123 | GRU | 287 | twins_pcpvt_small | 
| 124 | halonet_h1 | 288 | UCNET | 
| 125 | haloregnetz_b | 289 | ULTRA-FAST-LANE-DETECTION | 
| 126 | hardcorenas | 290 | U-Net | 
| 127 | hardcorenas_a | 291 | UNET-GAN | 
| 128 | Hourglass | 292 | VAE+GAN | 
| 129 | hyperseg | 293 | VASNET | 
| 130 | I3D | 294 | VGG11 | 
| 131 | ICT | 295 | VGG11_BN | 
| 132 | IFM | 296 | VGG13 | 
| 133 | IIC | 297 | VGG13_BN | 
| 134 | Inception V4 | 298 | VGG16 | 
| 135 | Inception-ResNet-V2 | 299 | VGG16_BN | 
| 136 | InceptionV1 | 300 | VGG19 | 
| 137 | InceptionV2 | 301 | VGG19_BN | 
| 138 | InfoGAN | 302 | VIT | 
| 139 | InsightFace | 303 | VIT-base | 
| 140 | InsightFace-v2 | 304 | vovnet-39 | 
| 141 | Lambda Networks | 305 | vsumm-reinforce | 
| 142 | lambda_resnet26t | 306 | Wasserstein GAN | 
| 143 | Least Squares GAN | 307 | Wasserstein GAN DIV | 
| 144 | LFFD | 308 | Wasserstein GAN GP | 
| 145 | LGAN | 309 | WGAN-WC | 
| 146 | LIGHT-WEIGHT-REFINENET | 310 | Wide & Deep | 
| 147 | LPRNet | 311 | Wide_ResNet101_2 | 
| 148 | LSGAN | 312 | Wide_ResNet50_2 | 
| 149 | LSTM | 313 | wideresnet | 
| 150 | MATNET | 314 | Xception | 
| 151 | MiningFSS | 315 | xception_aligned | 
| 152 | mixer_s32_224 | 316 | xDeepFM | 
| 153 | mixnet_s | 317 | yolov5s | 
| 154 | MLP-Mixer | 318 | ZERO-DCE | 
| 155 | MNasNet | 319 | XLM | 
| 156 | MNASNet0_5 | 320 | mBart | 
| 157 | MNASNet0_75 | 321 | bert_squard | 
| 158 | MNASNet1_0 | 322 | EfficientNet-B5 | 
| 159 | MNASNet1_3 | 323 | GhostNet | 
| 160 | MobileNetV1 | 324 | gluon_resnet50_v1b | 
| 161 | MobileNetV2 | 325 | gluon_resnet50_v1c | 
| 162 | MobileNetV3 | 326 | gluon_resnet50_v1d | 
| 163 | MobileNetV3-Small | 327 | SkresNet50 | 
| 164 | Moco V2 | 328 | spnasnet_100 |