Did anyone attempt to replicate the results in the paper? Just learning a no-parts single component model on pascal with a sliding window SVM gives me about 33% mAP, as opposed to the papers' 39% mAP (before addition of multiple aspect ratio models). Anyone tried this or can Ross share why this might happen/code for training?
Thank you!
Did anyone attempt to replicate the results in the paper? Just learning a no-parts single component model on pascal with a sliding window SVM gives me about 33% mAP, as opposed to the papers' 39% mAP (before addition of multiple aspect ratio models). Anyone tried this or can Ross share why this might happen/code for training?
Thank you!