Ntụziaka nka

Ịkpọ aha ụgha na ọzụzụ onwe

Pseudo-labeling bụ usoro a na-ahụ maka ọkara ebe ihe atụ a zụrụ n'obere akara na-ewepụta akara nke ya maka data enweghị akara, wee zụọ amụma ndị ahụ.

2 nkeji na-agụEmelitere ikpeazụ

Nchịkọta

It is a simple, powerful way to exploit abundant unlabeled data.

Ime miri emi

Ọzụzụ onwe onye bụ otu n'ime echiche ndị a na-ahụ maka ọkara kacha ochie. Ị na-ebu ụzọ zụọ ihe nlereanya onye nkuzi na data nwere oke aha. Onye nkuzi wee buru amụma akara maka nnukwu ọdọ mmiri nke ihe atụ na-enweghị aha; amụma ntụkwasị obi dị elu na-aghọ aha-aha pseudo. A zụrụ ihe nlere anya ụmụ akwụkwọ na njikọ nke ezigbo akara na aha ụgha, na-akakarị onye nkuzi. Ọnụ ụzọ ntụkwasị obi bụ okwu: naanị amụma dị n'elu mbelata nke puru omume ka a na-edobe, yabụ na-emebighị ihe nlereanya ahụ site na ntule anya nke onwe ya na-ejighị n'aka. Ụdị dị iche iche nke ọgbara ọhụrụ na-ejikọta akara pseudo na nhazi oge niile. Dịka ọmụmaatụ, FixMatch na-ewepụta akara pseudo site na onyonyo agbakwunyere na-adịghị ike wee zụọ ihe nlereanya ahụ ka ọ dakọtara na ụdị agbagoro siri ike, mana naanị mgbe amụma na-adịghị ike nwere ntụkwasị obi. Nwa akwụkwọ na-eme mkpọtụ mere ka echiche ahụ dị na ImageNet site n'ime ka nwa akwụkwọ ahụ buru ibu na ịgbakwunye mkpọtụ (mkpọpụta, mmụba) n'oge ọzụzụ ya.

Nghọta nka nka

Isi loop bụ bootstrapping: ihe nlereanya na-ede aha data enyeghị ya akara maka ya, wee mụta ihe site na akara ndị ahụ. Ihe egwu dị na ya bụ nkwenye nkwenye, ebe a na-ewusi mmejọ mbụ ike. Ụzọ nche na-agụnye ọnụ ụzọ ntụkwasị obi dị elu, nkọ ma ọ bụ otu-ekpo ọkụ 'ịkwado' amụma, ịhazi klaasị, na ịgbanye mkpọtụ n'ime nwa akwụkwọ ahụ ka ọ gbasaa karịa naanị iburu onye nkuzi n'isi. Ịmegharị okirikiri onye nkuzi na nwata akwụkwọ, oge ọ bụla iji ụdị emelitere emelitere, nwere ike ịbawanye uru.

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 Pseudo-Labeling na ọzụzụ onwe

Pseudo-labeling na-anọgide na etiti na labelụ mmụta na-arụ ọrụ nke ọma ma na-abawanye na pipeline ọzụzụ ụdị, ebe ụdị siri ike na-emepụta akara sịntetik ma ọ bụ ọbụna data sịntetik iji zụọ obere ma ọ bụ ụdị ọhụrụ, ụdị nke distillation. Na-atụ anya njikọ siri ike na mmụta siri ike (ikpebi ihe atụ ndị mmadụ kwesịrị ịkpọ aha), atụmatụ ejighị n'aka ka mma iji nyochaa akara pseudo, yana ịga n'ihu na-eji njirimara okwu, onyonyo ahụike, na ngalaba ọ bụla ebe data enweghị akara karịrị nke ukwuu data.

Mmejuputa n'ezie n'ụwa

Ọzụzụ usoro njirimara okwu site na iji ụdị mkpụrụ degharịa puku kwuru puku awa nke ọdịyo na-enweghị akara, wee na-azụghachi na ndegharị obi ike.

Nwa akwụkwọ mkpọtụ Google na-emeziwanye izi ezi ImageNet site n'ịkpọ onye nkuzi aha onyonyo na-enweghị akara ma zụọ nwa akwụkwọ ka ukwuu ma na-eme mkpọtụ.

N'ịkpọ nnukwu ọdọ mmiri nyocha ahụike na-akọwaghị ya na ihe nlereanya a zụrụ n'okwu ikpe ndị ọkachamara nwere narị ole na ole iji gbasaa usoro ọzụzụ.

Ịkwalite nhazi ọkwa ederede maka ngalaba niche site na ịde aha nde mmadụ akwụkwọ enweghị akara n'elu ebe ntụkwasị obi.

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

1

Kọwaa latency, ịdịmma na ebumnuche ọnụ ahịa tupu mmejuputa ya.

2

Benchmark n'okpuru ibu dị adị na ọnọdụ data.

3

Nleba anya akụrụngwa maka mperi, ịkpafu na mmetụta onye ọrụ.

4

Kwadebe ụzọ nzaghachi azụghachi azụ na ihe omume tupu ịchachaa.

Nọgide na-eme nchọpụta

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Ntuziaka na-esote

Nyochaa Sharding na Ọzụzụ Resumable

Ajụjụ a na-ajụkarị

What is Pseudo-Labeling and Self-Training?

Pseudo-labeling bụ usoro a na-ahụ maka ọkara ebe ihe atụ a zụrụ n'obere akara na-ewepụta akara nke ya maka data enweghị akara, wee zụọ amụma ndị ahụ. Ọ bụ ụzọ dị mfe, dị ike iji jiri ọtụtụ data enweghị akara.

Gịnị bụ pseudo-label?

Akara akara bụ amụma nke ihe nlere anya na data enweghị akara, ejiri dị ka ebumnuche ọzụzụ.

Gịnị mere e ji ejikarị ọnụ ụzọ ntụkwasị obi eme ihe n'ịkpọ aha pseudo?

Nzacha site na ntụkwasị obi na-ezere ọzụzụ na echiche ịma jijiji nke ihe nlereanya, na-ebelata mgbasawanye njehie.

Kedu ihe bụ 'nkwenye nhụsianya' n'ihe gbasara ọzụzụ onwe onye?

Ọ bụrụ nrịbama pseudo nke mbụ ezighi ezi, ihe nlereanya ahụ nwere ike igbachi wee bulie njehie ndị ahụ karịa nkwugharị.

Kedu ka FixMatch si ejikọta pseudo-labeling na augmentation?

FixMatch na-eji amụma mmụba na-adịghị ike nke nwere ntụkwasị obi dị ka ebumnuche maka nlele agbakwunyere ike, na-agbakwunye nhazi oge niile.

Kedu ihe __AIU_PROTECTED_11_Student Noisy gbakwunyere mgbe ọ na-azụ ụdị nwa akwụkwọ?

Nwa akwụkwọ na-eme mkpọtụ na-etinye mkpọtụ ma na-amụba nwa akwụkwọ ka ọ gbasaa karịa naanị iṅomi onye nkuzi.