Guide-yakabatana mibvunzo · Pakati Nhanho

Action Recognition Quiz

Learn how video action-recognition models use temporal evidence, motion representations and spatiotemporal convolutions.

Nzira dzekutungamira dzinoenderanaKuzivikanwa Kwekuita
Mubvunzo 1 ye 8

Chii chinosiyanisa kucherechedzwa kwechiito kubva kumhando yemifananidzo yakajairika?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Chii chinosiyanisa kucherechedzwa kwechiito kubva kumhando yemifananidzo yakajairika?
    • Iyo inokonzeresa nezvekuti mapixels anochinja sei nguva yese, kwete furemu imwe chete
    • Inoshandisa mifananidzo yakakura
    • Inongoshanda pavhidhiyo nhema-uye-chena
    • Izvo zvinoda hapana data yekudzidziswa
  2. Muchinyakare-mbiri-rukova chiito chekucherechedza network, rwizi rwechipiri runowanzoita sei?
    • Audio waveforms
    • Optical flow inomiririra kufamba
    • Zvinyorwa zvinyorwa
    • GPS inoronga
  3. Ko 3D convolution inowedzera chii kana ichienzaniswa neyakajairwa 2D convolution?
    • Nzira dzemavara
    • Higher image resolution
    • Yenguva (nguva) axis saka mafirita anotenderera akawanda mafuremu
    • Batch yakakura saizi
  4. Chii chinonzi 'inflation' chinyengeri chinoshandiswa neI3D modhi?
    • Kuwedzera kupenya kwevhidhiyo
    • Kuwedzera mamwe ma layer
    • Kudzvanya vhidhiyo faira
    • Kuwedzera 2D mufananidzo-netiweki uremu mu 3D nekuadzokorora nguva dzese
  5. Sei iyo Chimwe Chinhu-Chimwe dhataset ichikosha pakuzivikanwa kwechiito?
    • Inomanikidza mamodheru kuti anzwisise gwara renguva kwete kuvimba nemamiriro echiitiko
    • Iine mavhidhiyo emhuka chete
    • Haina mavara
    • Yakagadzirwa nemifananidzo imwe chete
  6. Ndeipi nzira inobatsira maitiro ekuzivikanwa kuti adzidze kubva muvhidhiyo isina kunyorwa?
    • Manual frame-by-frame labeling
    • Kuzvitarisisa masiki yevhidhiyo modelling
    • Kudzima data rese rekufamba
    • Kushandisa audio chete
  7. How many action-template classes did the initial Something-Something dataset paper describe?
    • 17 classes
    • 1,740 classes
    • 174 classes
    • 17,400 classes
  8. What pretraining strategy does VideoMAE use?
    • Training only on single labeled frames
    • Replacing video with a text transcript
    • Predicting optical flow without reconstructing masked content
    • Masking a high proportion of video tokens and reconstructing them from visible tokens