i have image let's 3 objects in them: car, cycle , dog. can bag of words implemented in such way segregates , detects 3 of them in same image?
bag of visual word method re-represent features. these new representations can combined using 1 of pooling techniques. if have multiple objects in image should encoded in new representation of image " output of pooling". detecting these objects work of multi-label classifier.
note that: sparse coding has been proved better bow. sparse coding, can use sparse based classifier detect occurrence of multiple objects. sparse based classifier analyzes sparsity of different sections of sparse representation find out objects in image
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