maxvit_large_tf_384.in1k 86.2 212 132.6 445.8 link maxvit_small_tf_512.in1k 86.1 69.1 67.3 383.8 link maxvit_tiny_tf_512.in1k 85.7 31 33.5 257.6 link maxvit_small_tf_384.in1k 85.5 69 35.9 183.6 link maxvit_tiny_tf_384.in1k 85.1 31 17.5 123.4 link maxvit_large_tf_224.in1k ...
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,...
maxvit_large_tf_512.in1k 86.5 212.3 244.8 942.2 link maxvit_base_tf_384.in1k 86.3 119.6 73.8 332.9 link maxvit_large_tf_384.in1k 86.2 212 132.6 445.8 link maxvit_small_tf_512.in1k 86.1 69.1 67.3 383.8 link maxvit_tiny_tf_512.in1k 85.7 31 33.5 257.6 link maxvit_small_tf_384.in...
maxvit_large_tf_384.in1k 86.23 97.69 70.56 212.03 132.55 445.84 maxvit_small_tf_512.in1k 86.10 97.76 88.63 69.13 67.26 383.77 maxvit_tiny_tf_512.in1k 85.67 97.58 144.25 31.05 33.49 257.59 maxvit_small_tf_384.in1k 85.54 97.46 188.35 69.02 35.87 183.65 maxvit_tiny_tf_384.in1k 85.11 97.3...
maxvit_tiny_tf_512.in1k 85.67 97.58 144.25 31.05 33.49 257.59 maxvit_small_tf_384.in1k 85.54 97.46 188.35 69.02 35.87 183.65 maxvit_tiny_tf_384.in1k 85.11 97.38 293.46 30.98 17.53 123.42 maxvit_large_tf_224.in1k 84.93 96.97 247.71 211.79 43.68 127.35 coatnet_rmlp_1_rw2_224.sw_in12k_...
maxvit_tiny_tf_512.in1k 85.67 97.58 144.25 31.05 33.49 257.59 maxvit_small_tf_384.in1k 85.54 97.46 188.35 69.02 35.87 183.65 maxvit_tiny_tf_384.in1k 85.11 97.38 293.46 30.98 17.53 123.42 maxvit_large_tf_224.in1k 84.93 96.97 247.71 211.79 43.68 127.35 coatnet_rmlp_1_rw2_224.sw_in12k_...
maxvit_base_tf_384.in1k 86.29 97.80 101.09 119.65 73.80 332.90 maxvit_large_tf_384.in1k 86.23 97.69 70.56 212.03 132.55 445.84 maxvit_small_tf_512.in1k 86.10 97.76 88.63 69.13 67.26 383.77 maxvit_tiny_tf_512.in1k 85.67 97.58 144.25 31.05 33.49 257.59 maxvit_small_tf_384.in1k 85.54 97....
maxvit_base_tf_384.in1k 86.29 97.80 101.09 119.65 73.80 332.90 maxvit_large_tf_384.in1k 86.23 97.69 70.56 212.03 132.55 445.84 maxvit_small_tf_512.in1k 86.10 97.76 88.63 69.13 67.26 383.77 maxvit_tiny_tf_512.in1k 85.67 97.58 144.25 31.05 33.49 257.59 maxvit_small_tf_384.in1k 85.54 97....
create_model('eva02_base_patch16_clip_224', pretrained=True, img_size=512, features_only=True, out_indices=(-3, -2,)) output = model(torch.randn(2, 3, 512, 512)) for o in output: print(o.shape) torch.Size([2, 768, 32, 32]) torch.Size([2, 768, 32, 32]) TinyC...
maxvit_large_tf_384.in1k 86.2 212 132.6 445.8 link maxvit_small_tf_512.in1k 86.1 69.1 67.3 383.8 link maxvit_tiny_tf_512.in1k 85.7 31 33.5 257.6 link maxvit_small_tf_384.in1k 85.5 69 35.9 183.6 link maxvit_tiny_tf_384.in1k 85.1 31 17.5 123.4 link maxvit_large_tf_224.in1k ...