Comments (1)
Yes, SuperPoint+NN can't handle in-plane ratation well, maybe because there are no extreme in-plane rotation in the training examples. In superpoint paper, the author mentioned that they avoid sampling extreme in-plane rotations as they are rarely seen in HPatches.
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Related Issues (20)
- PyTorch 1.4+ and grid_sample behavior HOT 1
- Why the size of descriptor is 256 float ? HOT 1
- wrong keypoint coordinates HOT 7
- demo wrong HOT 1
- train custum superpoint or superglue HOT 1
- how to create .pt file?
- Custom Point Tracking HOT 2
- Improvising the speed HOT 2
- Onnx Inference HOT 1
- Application of NMS
- About BatchNorm HOT 1
- Binary descriptor HOT 2
- About pixel shuffle
- Any other training data except CoCo?
- illumination change problem
- How to infer batch images at one time? HOT 2
- PointTracker:Warning,no points were added to tracker.
- Code Source
- Matching Score Metric - Hard to understand
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