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Complexity
Churn
Issues
A
vidar\arch\networks\layers\define\decoders\utils\res_mlp.py
14 1 -
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vidar\arch\networks\layers\define\decoders\utils\upsample_tensor.py
1 1 -
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configs\recipes\datasets\ddad.yaml
 3 -
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configs\papers\define\inference_scannet_temporal.yaml
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configs\papers\selfcalib\ucm_kitti.yaml
 2 -
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configs\recipes\losses\rgb.yaml
 1 -
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vidar\arch\losses\SSIMLoss.py
2 2 -
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vidar\arch\networks\layers\define\decoders\volumetric.py
11 1 -
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vidar\arch\networks\layers\define\embeddings\base.py
14 1 -
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vidar\arch\losses\SmoothnessLoss.py
5 2 -
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vidar\arch\networks\layers\define\embeddings\camera.py
11 1 -
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configs\papers\define\hub_define_temporal.yaml
 1 -
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configs\recipes\networks\conv_pose_net.yaml
 1 -
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vidar\arch\losses\SupervisedDepthLoss.py
61 2 -
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vidar\arch\networks\layers\define\embeddings\depth.py
5 1 -
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vidar\arch\networks\layers\define\embeddings\utils\fourier_position_encoding.py
21 1 -
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vidar\arch\losses\SupervisedImageLoss.py
8 1 -
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vidar\arch\networks\layers\define\embeddings\volumetric.py
34 1 -
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vidar\arch\networks\layers\define\perceiver\activations.py
10 1 -
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configs\papers\sesc\inference_ddad.yaml
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