hi，nazhao，I‘m trying semi-supervised learning method on 3d object detection on outdoor dataset，I just wonder How did you think of using 100% trainset both as labeled data and unlabeled data，as in image object detection，for semi-supervised learning，I didn't see people using that data config。For the work 3DIoUMatch that following your work， they use same dataconfig with you，they also give outdoor dataset kitti‘s result，the result looks good，but I can’t reproduce the result。
hi，nazhao，I‘m trying semi-supervised learning method on 3d object detection on outdoor dataset，I just wonder How did you think of using 100% trainset both as labeled data and unlabeled data，as in image object detection，for semi-supervised learning，I didn't see people using that data config。For the work 3DIoUMatch that following your work， they use same dataconfig with you，they also give outdoor dataset kitti‘s result，the result looks good，but I can’t reproduce the result。