Ngwakọta na CutMix Augmentation
Ngwakọta na CutMix bụ ụzọ ntinye data na-emepụta ihe atụ ọzụzụ ọhụrụ site na ịgwakọta ihe oyiyi abụọ na akara ha.
Nchịkọta
Mixup linearly interpolates whole images and labels, while CutMix pastes a rectangular patch from one image onto another and mixes labels by patch area — both reduce overfitting and improve robustness.
Ime miri emi
Ngwakọta (Zhang et al., 2017) na-emepụta ihe nlele ọhụrụ ka x̃ = λ·x_a + (1−λ) · x_b na akara ỹ agwakọtara site na otu λ, ebe λ na-adọta site na nkesa Beta. Nke a na-akwado ihe nlereanya ahụ ka ọ na-akpakọrịta n'ahịrị n'etiti ihe atụ, na-edozi oke mkpebi na imeziwanye nhazi. CutMix (Yun et al., 2019) kama bepụ mpaghara akụkụ anọ site na onyonyo B wee mado ya na onyonyo A; A na-edobe arọ akara akara site na oke pikselụ onyonyo ọ bụla na-enye aka. N'ihi na CutMix na-edobe mpaghara onyonyo dị n'otu n'otu (kama ngwakọta nke mmụọ), ọ na-echekwa nhazi oghere bara uru ebe ọ ka na-amanye ihe nlereanya ahụ ịga n'ọtụtụ ihe na akụkụ. Usoro abụọ a na-arụ ọrụ dị ka ndị na-emezigharị oge siri ike, na-ebuli izi ezi na akara nrịbama nke ImageNet, ma na-emeziwanye ike na nrụrụ aka na ntinye mmegide.
Nghọta nka nka
Ụzọ abụọ a na-agbanwe ebumnuche ọnwụ, ọ bụghị naanị ntinye. Akara akara ahụ na-aghọ ebumnuche dị nro, agwakọta agwakọta, yabụ ọnwụ nke cross-entropy bụ ngwakọta λ-arọ nke klaasị abụọ - n'ụzọ dị irè ụdị nrịbama nke ejikọtara na oke ngwakọta pixel. Na CutMix, λ ha nhata nhata nke pikselụ na-agbanweghị agbanwe, gbakọọ site na mpaghara igbe mbelata kewara site na mkpokọta onyonyo, nke na-edobe akara akara kwekọrọ na ole onyonyo ọ bụla a na-ahụ.
Mmetụta atụmatụ
Ọnụ ego na mmefu ego
Mkpebi ihe owuwu ụlọ na-akwalite arụmọrụ yana ọnụ ahịa ọrụ ruo ọtụtụ afọ.
Mkpebi doro anya
Nkà mmụta nka na-enyere ndị otu egwuregwu aka ịhọrọ nchịkọta ziri ezi, ọ bụghị naanị nke kachasị ọhụrụ.
Quality akara
Nhọrọ injinia ka mma na-ebelata ihe omume ntụkwasị obi na mmepụta.
Ọdịnihu nke Mixup na CutMix Augmentation
Ngwakọta gbanyere mkpọrọgwụ ugbu a bụ ọkọlọtọ n'ụdị ntụzịaka nke nhazi onyonyo siri ike ma na-akwado pipeline ọzụzụ ọgbara ọhụrụ maka ntụgharị ọhụụ, nke na-achọkarị nhazi oke. Nnyocha na-aga n'ihu na ụdị dị iche iche nke maara nke ọma (dịka ọmụmaatụ, ịtinye mbelata na mpaghara ozi), ịgwakọta ọkwa ọkwa maka mgbanwe, yana ndọtị na ọdịyo, ederede na data 3D. Na-atụ anya ka atumatu agwakọta ga-anọgide na-abụ ihe nleba anya dị ọnụ ala maka ịkwalite izi ezi, nhazigharị, na ike ka ụlọ ọrụ na-etowanye agụụ data.
Mmejuputa n'ezie n'ụwa
Ọzụzụ ImageNet classifiers na CutMix iji bulie izi ezi nke top-1 wee kwalite nhazi ihe.
Itinye Mixup iji kwalite nhazi ihe nlere anya ka ntụkwasị obi buru amụma ga-adakọrịrị nke ọma.
Na-emezi ihe ngbanwe ọhụụ nke ukwuu (dịka, DeiT) yana ngwakọta Mixup na CutMix iji zụọ na oke data.
Na-abawanye ike maka nrụrụ onyonyo yana ntinye nkesa na-enweghị nkesa na sistemu ọhụụ dị oke egwu.
Ihe ize ndụ & okporo ụzọ nche
Ịkwalite otu akara ngosi nwere ike zoo adịghị ike sistemụ sara mbara.
A na-eledakarị ihe akụrụngwa na ụgwọ ọrụ anya.
Ọdịiche nchekwa na nleba anya nwere ike itolite ka sistemu na-adịwanye mgbagwoju anya.
Map mmejuputa
Kọwaa latency, ịdịmma na ebumnuche ọnụ ahịa tupu mmejuputa ya.
Benchmark n'okpuru ibu dị adị na ọnọdụ data.
Nleba anya akụrụngwa maka mperi, ịkpafu na mmetụta onye ọrụ.
Kwadebe ụzọ nzaghachi azụghachi azụ na ihe omume tupu ịchachaa.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Nkwalite oge ule
Ajụjụ a na-ajụkarị
What is Mixup and CutMix Augmentation?
Ngwakọta na CutMix bụ ụzọ ntinye data na-emepụta ihe atụ ọzụzụ ọhụrụ site na ịgwakọta ihe oyiyi abụọ na akara ha. Ngwakọta n'ahịrị na-ejikọta onyonyo na akara aha niile, ebe CutMix na-amado patch akụkụ anọ site n'otu onyonyo gaa na nke ọzọ wee gwakọta akara site na patch ebe - ha na-ebelata oke mma ma melite ike.
Kedu ka Mixup si emepụta ihe atụ ọzụzụ ọhụrụ?
Ngwakọta ụdị x̃ = λx_a + (1−λ)x_b wee gwakọta akara ndị ahụ na otu λ ewepụtara na nkesa Beta.
Gịnị bụ isi ihe dị iche n'etiti CutMix na Mixup?
CutMix na-eṅomi mpaghara akụkụ anọ site n'otu onyonyo gaa na nke ọzọ, na-edobe ọdịnaya dị n'otu mpaghara kama ịkekọrịta onyonyo abụọ ọnụ.
Na CutMix, kedu ka esi ekpebi oke agwakọta (lambda) maka akara?
A na-edozi oke akara na CutMix site na mpaghara igbe a mado n'ihe gbasara onyonyo niile, na-edobe akara n'usoro na pikselụ a na-ahụ anya.
Ewezuga onyonyo ntinye, kedu ihe ọzọ Mixup na CutMix na-agbanwe?
Ụzọ abụọ a na-agwakọta akara ndị ahụ, na-emepụta ebumnuche dị nro na-eme dị ka ụdị nrịcha akara nke dabere na data.
Kedu nkesa a na-ejikarị iji lelee ọnụọgụ ọnụọgụ lambda?
Ngwakọta na CutMix na-adọtakarị λ site na nkesa Beta, nke na-achịkwa etu esi agwakọta ihe atụ abụọ ahụ siri ike.