Comments (1)
@chenbolinstudent
The pretraining step is not mandatory, i.e. you can also run the tracker with an imagenet-pretrained model.
However, as discussed in the paper, the pretraining on video sequences helps the model learn features relevant to tracking tasks and improves the performance.
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Related Issues (20)
- ImageNet-VID dataset HOT 7
- How long do you take training on ImageVid? HOT 1
- where is lr_decay in the options_vot.yaml? HOT 1
- the success is different from what you show HOT 1
- precision plots and success plots
- No such file or directory:
- Missing ImageNet-VID pickle file HOT 1
- init_bbox for a sequence with multiple targets
- Tracking Part
- Model training randomness problem!
- input image size during the training process
- Problem during tracking HOT 1
- Why performance on TB100/TB50 worse than matlab repo(as paper display)?
- code error in generate canditates when update HOT 1
- Problem on training and tracking
- What should be the approach if the object enters frame a bit late and disappears sometimes?
- args.seq or args.json
- Downloading the VGG-M model HOT 1
- Is it possible to track multiple objects?
- 缺少imagenet_vid.pkl文件
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