Kan layi da Ma'adinai mara kyau
Haƙar ma'adinai mara kyau tana ɗaukar mafi fa'ida, masu wahala-bambance-bambancen misalan don horarwa maimakon ɓata ƙoƙari akan masu sauƙi samfurin ya riga ya daidaita.
Dubawa
It is the trick that makes metric learning and object detection converge fast and accurately.
Zurfafa nutsewa
Lokacin horo tare da asarar sau uku ko bambanci, yawancin abubuwan da ba a iya kwatanta su ba sun riga sun yi nisa daga anka, don haka suna haifar da asarar sifili kuma babu gradient, wuraren horo. Ma'adinan ma'adinai mara kyau yana gyara wannan ta zaɓin mummunan mummunan: misalan da ba daidai ba kusa da anga. A cikin haƙar ma'adinai ta layi, kuna bincika bayanan bayanan lokaci-lokaci don nemo waɗannan, wanda ke sannu a hankali kuma yana tsayawa. Ma'adinan kan layi yana ƙididdige su a kan tashi a cikin kowane ƙaramin tsari: bayan wucewa ta gaba, kuna duba duk nisa iri-iri a cikin tsari kuma zaɓi mafi wahala. FaceNet ya gabatar da ma'adinan ma'adinai mai wuyar gaske, yana zabar abubuwan da ba su da kyau fiye da tabbatacce amma har yanzu a cikin gefe, guje wa rashin kwanciyar hankali wanda cikakkiyar maƙarƙashiya na iya haifar da farkon horo.
Fahimtar Fasaha
Ma'adinan kan layi yana cin gajiyar rukunin da kuka riga kuka ƙididdigewa. Tare da abubuwan haɗin B kuna samun matrix nesa na B-by-B da gaske kyauta, don haka zaku iya kimanta ɗimbin ɗimbin ɗan takara sau uku kowane mataki. Batch-hard ma'adinai yana zaɓar, ga kowane anka, mafi nisa tabbatacce kuma mafi kusa mara kyau a cikin tsari. Ma'adinan Semi-hard a maimakon haka yana tilasta maƙasudin yin ƙarya tsakanin ingantacciyar tazara da ingantacciyar nisa tare da gefe, yana samar da marasa sifili amma tsayayyun gradients. Manyan batches suna ba da ɗimbin ɗimbin ɗimbin ƴan takara, wanda shine dalilin da ya sa girman batch yana tasiri mai ƙarfi akan ingancin ilimin awo.
Dabarun Tasiri
Kudin da kasafin kuɗi
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Shawarwari masu haske
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Kula da inganci
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Makomar Ma'adinan Kan layi da Hard Negative Mining
Ka'idar, horar da abin da ke da wuyar gaske, yanzu tana jagorantar ilmantarwa mai kulawa da kai, inda manyan wuraren tafki marasa kyau (da bankunan ƙwaƙwalwar ajiya kamar MoCo) ke ba da kwatance mai wahala ba tare da lakabi ba. Masu bincike suna sake fasalin yadda mummunan ya kamata ya kasance, tun da yake matsananciyar wahala sau da yawa yakan zama ɓatacce ko kusan kwafi tabbatacce waɗanda ke lalata horo. Yi tsammanin mafi wayo, rashin tabbas ma'adinai da ma'adanai masu ƙarfi na roba waɗanda ƙirar kanta ta haifar, da ƙarin haɗin kai tare da tsarin maidowa waɗanda ke da ƙorafi daga ainihin tambayoyin mai amfani.
Aiwatar da Gaskiyar Duniya
Koyarwar tantance fuska: FaceNet tana amfani da haƙar ma'adinai ta kan layi don koyan abubuwan haɗawa waɗanda ke raba masu kama da juna.
Gano abu: SSD da makamantan su suna amfani da ma'adinai mara kyau don daidaita ambaliya na akwatunan bango masu sauƙi a kan akwatunan abu da ba kasafai ba.
Sake dawo da hanya mai yawa: bincike da tsarin RAG na nada manyan takardu mara kyau wadanda suka dace amma ba su da kyau, suna kara maidowa.
Tsarin shawarwari: samfura abubuwan ma'adanan da mai amfani bai danna ba amma waɗanda suka yi kama da abubuwan da aka danna, suna koyar da bambance-bambancen dandano.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Ci gaba da Bincike
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Jagora na gaba
Yanar Gizo da Yanar Gizo Yana Hidima Skew
Tambayoyin da ake yawan yi
What is Online and Hard Negative Mining?
Haƙar ma'adinai mara kyau tana ɗaukar mafi fa'ida, masu wahala-bambance-bambancen misalan don horarwa maimakon ɓata ƙoƙari akan masu sauƙi samfurin ya riga ya daidaita. Dabarar ce ke sa ilimin awo da gano abu su haɗu cikin sauri da daidai.
Me yasa yawancin abubuwan da ba a iya kwatanta su ba suna ba da siginar horo kaɗan a cikin asarar sau uku?
Abubuwan da ba su da sauƙi suna zaune da kyau fiye da gefe, gamsar da asarar riga, kuma suna ba da gudummawa da gaske ba gradient, don haka horo ya tsaya.
Menene ya bambanta haƙar ma'adinai ta kan layi da haƙar ma'adinai ta layi?
Ma'adinan kan layi yana ƙididdige nisa biyu a cikin tsari na yanzu kowane mataki, yayin da ma'adinan layi na kan layi lokaci-lokaci yana bincika duk saitin bayanai kuma zai iya yin aiki.
Menene mummunan 'Semi-hard' kamar yadda aka ayyana a FaceNet?
Semi-hard negatives sun fi anka nisa fiye da tabbataccen duk da haka suna faɗuwa a cikin gefe, suna ba da fa'ida, ingantaccen gradients ba tare da rashin kwanciyar hankali na cikakkun lokuta masu wahala ba.
A cikin ma'adinai mai wuyar gaske, wanne mara kyau ne aka zaɓa don kowane anka?
Batch-hard ma'adinai yana ɗaukar lokuta mafi wahala: ga kowane anka yana ɗaukar mafi nisa tabbatacce kuma mafi kusa (mafi ruɗani) mara kyau a cikin tsari.
Me yasa girman juzu'i yakan inganta sakamakon koyon awo?
Babban tsari yana haifar da matrix mai nisa mafi girma, don haka akwai ƙarin ɓangarorin ɗan takara don nawa mafi wahala daga kowane mataki.