Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285205967> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4285205967 endingPage "105" @default.
- W4285205967 startingPage "88" @default.
- W4285205967 abstract "We present a review of the methods behind the top 40 highest accuracies achieved on the ILSVRC 2012 Imagenet validation set as ranked on Papers with Code. A significant proportion of these methods involve using transformer-based architectures, but it should be noted that none of the methods are naïve self-attention transformers, which would be unmanageably large if the tokens were derived on a per-pixel basis. Rather, the works we review here all toil with different methods of combining the global nature of self-attention with the local nature of fine-grained image features, which have historically been the strength of convolutional neural networks. However, it should be noted that 9 out of 22 works reviewed did NOT use transformers." @default.
- W4285205967 created "2022-07-14" @default.
- W4285205967 creator A5005524720 @default.
- W4285205967 creator A5070212583 @default.
- W4285205967 creator A5086745464 @default.
- W4285205967 date "2022-01-01" @default.
- W4285205967 modified "2023-10-02" @default.
- W4285205967 title "The Current State of the Art in Deep Learning for Image Classification: A Review" @default.
- W4285205967 cites W2083291282 @default.
- W4285205967 cites W2108598243 @default.
- W4285205967 cites W2111316763 @default.
- W4285205967 cites W2150884987 @default.
- W4285205967 cites W2194775991 @default.
- W4285205967 cites W2331143823 @default.
- W4285205967 cites W2336829997 @default.
- W4285205967 cites W2752782242 @default.
- W4285205967 cites W2963925437 @default.
- W4285205967 cites W3035160371 @default.
- W4285205967 cites W3035682985 @default.
- W4285205967 cites W3097217077 @default.
- W4285205967 cites W3103940211 @default.
- W4285205967 cites W3138516171 @default.
- W4285205967 cites W3172942063 @default.
- W4285205967 cites W3180562345 @default.
- W4285205967 cites W4214493665 @default.
- W4285205967 cites W4214634256 @default.
- W4285205967 cites W4250482878 @default.
- W4285205967 cites W4295308583 @default.
- W4285205967 cites W4313007769 @default.
- W4285205967 doi "https://doi.org/10.1007/978-3-031-10464-0_7" @default.
- W4285205967 hasPublicationYear "2022" @default.
- W4285205967 type Work @default.
- W4285205967 citedByCount "1" @default.
- W4285205967 countsByYear W42852059672023 @default.
- W4285205967 crossrefType "book-chapter" @default.
- W4285205967 hasAuthorship W4285205967A5005524720 @default.
- W4285205967 hasAuthorship W4285205967A5070212583 @default.
- W4285205967 hasAuthorship W4285205967A5086745464 @default.
- W4285205967 hasConcept C119599485 @default.
- W4285205967 hasConcept C127413603 @default.
- W4285205967 hasConcept C153180895 @default.
- W4285205967 hasConcept C154945302 @default.
- W4285205967 hasConcept C165801399 @default.
- W4285205967 hasConcept C177264268 @default.
- W4285205967 hasConcept C199360897 @default.
- W4285205967 hasConcept C2776760102 @default.
- W4285205967 hasConcept C41008148 @default.
- W4285205967 hasConcept C66322947 @default.
- W4285205967 hasConcept C81363708 @default.
- W4285205967 hasConceptScore W4285205967C119599485 @default.
- W4285205967 hasConceptScore W4285205967C127413603 @default.
- W4285205967 hasConceptScore W4285205967C153180895 @default.
- W4285205967 hasConceptScore W4285205967C154945302 @default.
- W4285205967 hasConceptScore W4285205967C165801399 @default.
- W4285205967 hasConceptScore W4285205967C177264268 @default.
- W4285205967 hasConceptScore W4285205967C199360897 @default.
- W4285205967 hasConceptScore W4285205967C2776760102 @default.
- W4285205967 hasConceptScore W4285205967C41008148 @default.
- W4285205967 hasConceptScore W4285205967C66322947 @default.
- W4285205967 hasConceptScore W4285205967C81363708 @default.
- W4285205967 hasLocation W42852059671 @default.
- W4285205967 hasOpenAccess W4285205967 @default.
- W4285205967 hasPrimaryLocation W42852059671 @default.
- W4285205967 hasRelatedWork W2521062615 @default.
- W4285205967 hasRelatedWork W2735477435 @default.
- W4285205967 hasRelatedWork W2767651786 @default.
- W4285205967 hasRelatedWork W2807436399 @default.
- W4285205967 hasRelatedWork W2912288872 @default.
- W4285205967 hasRelatedWork W3016958897 @default.
- W4285205967 hasRelatedWork W3045739591 @default.
- W4285205967 hasRelatedWork W3181746755 @default.
- W4285205967 hasRelatedWork W4283379348 @default.
- W4285205967 hasRelatedWork W4312417841 @default.
- W4285205967 isParatext "false" @default.
- W4285205967 isRetracted "false" @default.
- W4285205967 workType "book-chapter" @default.