We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
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How can I train on the boat set of the Pascal 3D+ dataset #13
I find the data of trainning such as "python run_reconstruction.py --name pretrained_reconstruction_p3d --dataset p3d --optimize_z0 --batch_size 50 --tensorboard" using the data of car.mat in sfm and data folder.Even if I rename the .mat to boat.mat and using the boat imageNet in Pascal 3D+ dataset,I find the shape of the result is more like a car not a boat.So I am wondering how to train the boat set.
I find the data of trainning such as "python run_reconstruction.py --name pretrained_reconstruction_p3d --dataset p3d --optimize_z0 --batch_size 50 --tensorboard" using the data of car.mat in sfm and data folder.Even if I rename the .mat to boat.mat and using the boat imageNet in Pascal 3D+ dataset,I find the shape of the result is more like a car not a boat.So I am wondering how to train the boat set.