… of object recognition. Instead, modern computational approaches to object recognition …
second skeleton following maximal alignment (see Methods). We chose to test a 3D skeletal …

… , respectively, by aligning the two modalities. We evaluate the proposed approach on two …
takes an image as input and generates a description in the form of natural language. VQA is …

… approach is reasonable, these datasets only contain very similar and almost aligned pairs
while the main goal of our approach … CNN for joint description and detection of local features. …

… The most common approach to object detection reduces the problem to one of classification.
… The two main approaches that take advantage of this sparsity are alignment [22] and the …

… and alignment with human visual strategies for object recognition. … We decompose human
visual strategies into descriptions of … Such a general-purpose method for aligning human and …

… a more detailed description of a few sample approaches. The … frontiers in 3D scene
interpretation and object recognition. … maps” in reference to their alignment with the retina or image …

… the descriptions will not only include the objects, salient stuff, … so that it can be better aligned
with the corresponding text caption… Rich feature hierarchies for accurate object detection and …

… Working out the computational details of how the protomaps become aligned during typical
and … We recognize that the description of the findings to date may appear to suffer from a …

… Automatic image recognition, description, classification, and grouping … using local and
global features based method, and this will also provide an in… local deep feature alignment …

… Unlike these models, our method provides a new perspective: fine-grained alignment and
fusion for mutual embedding enhancement, which can maintain relatively fast retrieval speed. …