Comments (1)
The related articles are not aligned, such as "Understanding Bird’s-Eye View of Road Semantics using an Onboard Camera". Although the training data used in the article is front view, the results of the training and validation are compared with the results of the surround view training in the PON paper, which is a serious academic misconduct. This should be clearly stated in the paper.
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Related Issues (20)
- lmdb error - data.mdb missing HOT 1
- can you provide pre-train model HOT 1
- lmdb.Error HOT 1
- How long does it take to train the model?
- Could you provide data.imdb? HOT 2
- Problem about nuscenes dataset HOT 6
- Cannot identify image file <_io.BytesIO object
- ValueError: Invalid format string HOT 1
- training and validation HOT 1
- Train configuration problem HOT 21
- Question about the calib in bev_transformer.py HOT 4
- Release of the checkpoints obtained by training on the whole dataset HOT 1
- generate nuscenes dataset
- Can you provide a Google Drive download link? HOT 3
- Is this codes really based on what the paper said?
- training datasets request
- Data is no longer available HOT 4
- Problem running Pretrained Weights
- EOFError: Ran out of input
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