Very interesting. Many of the design choices seem to be similar to our work on RCN, for eg. "we use normalized sobel-filtered images as the target of the reconstruction to emphasize the shape importance."https://science.sciencemag.org/content/358/6368/eaag2612.full?ijkey=DmvGldXIEXVoQ&keytype=ref&siteid=sci …
This is a much better version of capsules.https://twitter.com/arkosiorek/status/1153325419439038465 …
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It seems that these capsules do not properly take into account the temporal aspect of the data. Unlike the neocortex columns, equipped by grid cells.
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The whole field of statistics is clueless about temporal data. Ergodicity is an exception in reality.
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Neat. I think you stole capsules from the 1980s: Hinton G. A parallel computation that assigns canonical object-based frames of reference. Proc. 7th Int. Joint Conf. AI, 683–5, 1981. Hinton G. Shape representation in parallel systems. Proc. 7th Int. Joint Conf. AI, 1088–96, 1981.
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I hear you mentioned flaws to visual prompts if object shape is obfuscated, eg. square & rhomboid. May it help to identify an object with regards to chamfers, elongation, maximal & minimal material? Aside from value, surely standards are metadata specific, eg. fire glass & doors.
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Good luck pilgrim: JAR, “... https://en.m.wikipedia.org/wiki/Encapsulation_(computer_programming) … GH, “... https://en.m.wikipedia.org/wiki/Capsule_neural_network …
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Such an interesting stuff!!!
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@rohithrnair check this outHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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