Comments (3)
Might be. I added fpn to ssd, but didn't find significant accuracy increase. The file is not properly maintained right now.
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@qfgaohao Do you think FPN-SSD can help on small object?
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@AlanStark it's supposed to help. My guess is that the features from upper layers provide more contextual information, which may help the classifier. It's widely used in RCNN like detectors. It's worth to try.
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Related Issues (20)
- Training doesn't start - I'm getting an error with the data loader HOT 4
- convert_to_caffe2_models.py: RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! HOT 2
- SSDSpec for image size smaller than 300 HOT 1
- Re-training SSD-Mobilenet - loss going up and down
- Error using run_ssd_live_demo.py HOT 1
- [Question] what these parameters mean? HOT 2
- base net for mobilenetv3 ssd HOT 1
- ssd-mobilenet to tensorrt
- pytorch模型量化时报错
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- runtime error mobillenet-ssd-v2 HOT 5
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- FileNotFoundError: [Errno 2] No such file or directory: 'models/mobilenet_v1_with_relu_69_5.pth'
- cv2.error: OpenCV(4.5.5) : -1 : error: (-5:Bad argument) in function 'rectangle' HOT 1
- Could u add Nesterov momentum in SGD
- 4xgx
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