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updated config.json
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train/config.json

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@@ -32,17 +32,17 @@
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},
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"framework": {
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"name": "SparseInst",
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"tags": [
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"Real-Time"
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],
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"export": [
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"ONNX",
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"TensorRT"
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],
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"conference": "CVPR 2022",
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"released": 2022,
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"tasks": {
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"instance_segmentation": {
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"metric": 37.7,
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"models": 5
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}
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},
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"real_time": true,
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"onnx": true,
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"tensorrt": true
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"released": "2022",
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"description": "SparseInst presents a new object representation method (Instance Activation Maps), to adaptively highlight informative regions of objects for recognition. SparseInst achieves good trade-off between speed and accuracy (37.9 AP and 40 FPS with 608x input).",
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"github": "https://github.com/hustvl/SparseInst"
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},
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"files": {
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"models": "models/models.json",

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