Method and apparatus for recognizing sequence in image, electronic device, and storage medium

An apparatus for recognizing a sequence in an image, comprising:

• a processor;
• and
• a memory configured to store processor executable instructions, wherein
• the processor is configured to invoke the instructions stored in the memory, to:
• perform feature extraction on a to-be-processed image to obtain a first feature map of the to-be-processed image, wherein the to-be-processed image comprises a sequence formed by stacking a plurality of objects along a stacking direction;
• determine a region feature of each segmented region of a plurality of segmented regions in the to-be-processed image based on the first feature map, wherein all segmented regions of the plurality of segmented regions are obtained by dividing the to-be-processed image into k regions along the stacking direction, k is a set number of objects stacked along the stacking direction, and k is an integer greater than 1;
• and
• determine a category of each object in the sequence based on the region feature of each segmented region, wherein the determining a category of each object in the sequence based on the region feature of each segmented region further comprises:
• determining, based on the region feature of a first segmented region, a probability that an object in the first segmented region belongs to each of a plurality of object categories, wherein the first segmented region is any one of all the segmented regions, and
• determining an object category with a maximum probability among the plurality of object categories as an object category to which the object in the first segmented region belongs.

A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions upon execution by a processor cause the processor to perform operations, the operations comprising:

• performing feature extraction on a to-be-processed image to obtain a first feature map of the to-be-processed image, wherein the to-be-processed image comprises a sequence formed by stacking a plurality of objects along a stacking direction;
• determining a region feature of each segmented region of a plurality of segmented regions in the to-be-processed image based on the first feature map, wherein all segmented regions of the plurality of segmented regions are obtained by dividing the to-be-processed image into k regions along the stacking direction, k is a set number of objects stacked along the stacking direction, and k is an integer greater than 1;
• and
• determining a category of each object in the sequence based on the region feature of each segmented region, wherein the determining a category of each object in the sequence based on the region feature of each segmented region further comprises:
• determining, based on the region feature of a first segmented region, a probability that an object in the first segmented region belongs to each of a plurality of object categories, wherein the first segmented region is any one of all the segmented regions, and
• determining an object category with a maximum probability among the plurality of object categories as an object category to which the object in the first segmented region belongs.