zengkaiwei
zengkaiwei
Usually rerank is used in one dataset,but in your rerank.py you rerank source feature with target feature? Why? Or my understanding is fault? At this moment, what's the mean of...
in you train file parser.add_argument('--no-rerank', action='store_true', help="train without rerank") parser.add_argument('--dce-loss', action='store_true', help="train without rerank") both args.dce_loss and args.no-rerank default is False, it seems like you default to use rerank, but...
SGG++:use rerank both in selftraining.py and in semitrain.py SGG:only use rerank in selftraining.py and don't train semitrain.py Is my understanding right?
when I run semitrain.py no matter I use cluster or random it will report :No such file/directory: 'random_split/random_marker1501.pkl', the error code is in eug.py line406: with open(load_path, "wb") as fp:...
in your selftrain.py, the len(dataloader) is about 20 (each iteration len(dataloader) and len(images)is a little different)and the training is very fast. It seems that you choose a part of image...
Usually rerank is used in one dataset,but in your rerank.py you rerank source feature with target feature? Why? Or my understanding is fault?