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 |