quiz bu lëkkale ak tegtal · Diggante Niveau

Man-man Reseau Piramid Quiz

Natt FPN ci kaw-wacc ak fusion man-man lateral, niveau-specific, upsampling dëkkandoo bi gëna jege, ak jëfandikoo ci gis-gis mbir yu bari.

Yooni njiit yu jëm ciReseau Piramid
Laaj 1 de 8

Ban jafe-jafe bu mag la Reseau Pyramid Feature di njëkka saafara?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Ban jafe-jafe bu mag la Reseau Pyramid Feature di njëkka saafara?
    • Gis mbir yu feeñ ci eskaal yu wuute lool
    • Wàññi limu nataali tàggat yiñ soxla
    • Di dindi ñaari boyet yuñ tënk ginaaw biñu leen gisee
    • Modèle yuy kompresse ngir jëfandikoo mobile
  2. Buñu ko méngale ak tabax piramidu nataal (soppi dayo bi ak doxalaat reso bi), FPN moo gëna am njariñ ndax:
    • Soxlawul benn reso backbone
    • Jëfandikuwaat man-man yiñ jota xayma ci biir reso bi, di sakkanal xayma
    • Dafay dindi bépp njariñu convolusioŋ
    • Dafay dox ci nataal yu dóomu taal kese
  3. Ci FPN, lan mooy wareefu yoonu kaw wàcci?
    • Dafay sànni màndarga yu am resolusioŋ bu woyof
    • Dafay soppi nataal yi ci vecteur yu am solo ngir xaaj kese
    • Dafay yor ay màndarga yu am solo, yu xóot ba ci dayo yu gëna kawe
    • Dafay def suppression bu amul maximum
  4. naka lañuy boolee lëkkaloo yi ci wet yi ak man-mani upsampled yi ci kaw wàcci?
    • Concatené chaine-wise ginaaw ga xaaj
    • Yokkateg elemen ginaaw ab softmax
    • Dañu ko dindi ngir xayma kàrtu wuute
    • Yokk nañu ko ci wàllu elemen ginaaw bi ñu defee benn convolution 1x1 ngir méngale chaine yi
  5. Lan moo waral ñuy jëfandikoo ab convolution 3x3 ci bépp kàrtu màndarga buñ boole ci FPN?
    • Ngir nooyloo kàrt bi ak wàññi pseudo ci upsampling
    • Wàññi dayo spatial bi ci genn-wàll
    • Ngir xaaj nataal bi ci kategori
    • Ngir soppi man-man yi ci coordonnées boîte de limitation ci saasi
  6. Ban architecture moo yokk FPN ak fusion bidirectionnel buñ mëna jàng, pondéré?
    • AlexNet
    • BiFPN, jëfandikoo ci Det
    • Lenet-5
    • Word2Vec
  7. How is a top-down FPN feature map typically resized before lateral fusion?
    • Downsampled to a single pixel
    • Rotated 90 degrees
    • Upsampled by a factor of two using nearest-neighbor interpolation
    • Converted into a text sequence
  8. What does an FPN preserve by merging shallow high-resolution features with deeper semantic features?
    • Only the original image colors
    • Only the deepest layer’s low-resolution grid
    • The exact training labels without feature extraction
    • Fine spatial detail together with stronger semantic information