Method, apparatus and system for encoding and decoding a tensor

A method of decoding at least a plurality of tensors forming a hierarchical representation for a single frame from a bitstream, the method comprising:

• decoding a bitstream including at least a first unit of information from a bitstream;
• deriving, in a first mode, a plurality of tensors forming the hierarchical representation from the first unit of information, the plurality of tensors including at least a first tensor and a second tensor, feature maps of the first tensor having a larger spatial resolution than feature maps of the second tensor;
• decoding, in a second mode, a second unit of information from the bitstream;
• and
• deriving, in the second mode, a plurality of tensors forming at least part of the hierarchical representation from the second unit of information and at least a part of the first unit of information, the second unit of information corresponding to the first tensor.

A non-transitory computer-readable storage medium which stores a program for executing a method of encoding at least a plurality of tensors forming a hierarchical representation for a single frame into a bitstream, the method comprising:

• deriving a first unit of information from a plurality of tensors forming the hierarchical representation, the plurality of tensors including at least a first tensor and a second tensor, feature maps of the first tensor having a larger spatial resolution than feature maps of the tensor;
• encoding, in a first mode, at least the first unit of information into the bitstream;
• deriving, in a second mode, a second unit of information from the first tensor;
• and
• encoding, in the second mode, the second unit of information and the first unit of information into the bitstream.

An encoder configured encode at least a plurality of tensors forming a hierarchical representation for a single frame into a bitstream, by:

• deriving a first unit of information from a plurality of tensors forming the hierarchical representation, the plurality of tensors including at least a first tensor and a second tensor, feature maps of the first tensor having a larger spatial resolution than feature maps of the second tensor;
• encoding, in a first mode, at least the first unit of information into the bitstream;
• deriving, in a second mode, a second unit of information from at least the first tensor;
• and
• encoding, in the second mode, the second unit of information and the first unit of information into the bitstream.

A system comprising:

• a memory;
• and
• a processor, wherein the processor is configured to execute code stored on the memory for implementing a method of encoding at least a plurality of tensors forming a hierarchical representation for a single frame into a bitstream, the method comprising
• deriving a first unit of information from a plurality of tensors forming the hierarchical representation, the plurality of tensors including at least a tensor and a tensor, feature maps of the first tensor having a larger spatial resolution than feature maps of the tensor;
• encoding, in a first mode, at least the first unit of information into the bitstream;
• deriving, in a second mode, a second unit of information from the first tensor;
• and
• encoding, in the second mode, the second unit of information and the first unit of information into the bitstream.

A non-transitory computer-readable storage medium which stores a program for executing a method of method of decoding at least a plurality of tensors forming a hierarchical representation for a single frame from a bitstream, the method comprising:

• decoding a bitstream including at least a first unit of information from a bitstream;
• deriving, in a first mode, a plurality of tensors forming the hierarchical representation from the first unit of information, the plurality of tensors including at least a first tensor and a second tensor, feature maps of the first tensor having a larger spatial resolution than feature maps of the second tensor;
• decoding, in a second mode, a second unit of information from the bitstream;
• and
• deriving, in the second mode, a plurality of tensors forming at least part of the hierarchical representation from the second unit of information and at least a part of the first unit of information, the second unit of information corresponding to at least the first tensor.

A decoder configured to decode at least a plurality of tensors forming a hierarchical representation for a single frame from a bitstream, by:

• decoding a bitstream including at least a first unit of information from a bitstream;
• deriving, in a first mode, a plurality of tensors forming the hierarchical representation from the first unit of information, the plurality of tensors including at least a first tensor and a second tensor, feature maps of the first tensor having a larger spatial resolution than feature maps of the second tensor;
• decoding, in a second mode, a second unit of information from the bitstream;
• and
• deriving, in the second mode, a plurality of tensors forming at least part of the hierarchical representation from the second unit of information and at least a part of the first unit of information, the second unit of information corresponding to at least the first tensor.

A system comprising:

• a memory;
• and
• a processor, wherein the processor is configured to execute code stored on the memory for implementing a method of decoding at least a plurality of tensors forming a hierarchical representation for a single frame from a bitstream, the method comprising:
• decoding a bitstream including at least a first unit of information from a bitstream;
• deriving, in a first mode, a plurality of tensors forming the hierarchical representation from the first unit of information, the plurality of tensors including at least a first tensor and a second tensor, feature maps of the first tensor having a larger spatial resolution than feature maps of the second tensor;
• decoding, in a second mode, a second unit of information from the bitstream;
• and
• deriving, in the second mode, a plurality of tensors forming at least part of the hierarchical representation from the second unit of information and at least a part of the first unit of information, the second unit of information corresponding to at least the first tensor.