FFC-ResNet-504.226.177.6 FFC-ResNet-50 (+LFU)4.326.777.8 Quick starts Requirements pip install -r requirements.txt Data preparation You can follow the Pytorch implementation:https://github.com/pytorch/examples/tree/master/imagenet Training
config implementation Jun 1, 2021 evaluation_code implementation Jun 1, 2021 lru_c implementation Jun 1, 2021 optim implementation Jun 1, 2021 resnet_def implementation Jun 1, 2021 resource update description Mar 3, 2022 tools Create generate_pb2.sh ...
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'qa/L0_warmup/raw_mug_data', 'qa/L0_java_resnet/expected_output_data', 'qa/L0_trt_dla_jetson/trt_dla_model_store', 'qa/openvino_models/dynamic_batch', 'qa/openvino_models/fixed_batch', 'TRITON_VERSION') 'CITATION.cff', 'TRITON_VERSION') COPYRIGHT_YEAR_RE = 'Copyright( \\(c...
In short, an image is first sent through a backbone (which, in the paper could be either ResNet or Swin Transformer) to get a list of low-resolution feature maps. Next, these feature maps are enhanced using a pixel decoder module to get high-resolution features. Finally, a Transformer de...
In short, an image is first sent through a backbone (which, in the paper could be either ResNet or Swin Transformer) to get a list of low-resolution feature maps. Next, these feature maps are enhanced using a pixel decoder module to get high-resolution features. Finally, a Transformer de...
In this part, we use the OPT model [5] which is recently released by Meta to generate text by taking the first two sentences from the abstract of the prestigious ResNet paper [6]. Deeper neural networks are more difficult to train. We present a residual learning framework to...
Now that we've defined all building blocks (position embeddings, ResNet blocks, attention and group normalization), it's time to define the entire neural network. Recall that the job of the network \(\mathbf{\epsilon}_\theta(\mathbf{x}_t, t)\) is to take in a batch of noisy...
We provide configurations for Stage 1, 2, and 3 training with three types of backbones—ResNet50, Swin-Large, and EVA02-Large—across the Lite, Plus, and Pro variants, under theprojects/GLEE/configsfolder. For employing larger or novel backbones, it is advisable to initialize the compone...
InStereo2K:"InStereo2K: A Large Real Dataset for Stereo Matching in Indoor Scenes", Bao et al.,Science China Information Sciences, 2020. [Paper] [Github] [Bibtex] [Google Scholar] Middlebury 2021 Mobile Dataset: [Dataset] [Bibtex]