Computer-Vision-in-the-Wild/Elevater_Toolkit_IC

Issues

• Some details about finetuning

  #1 opened 2 years ago by vealocia
  1

• Recommendation with Vision Projection and Text Projection for Zero-shot learning

  #16 opened 7 months ago by nibtehaz
  5

• EvalAI taking too long

  #15 opened 7 months ago by nibtehaz
  5

• Does the repo pick the weights that perform best in val dataset to evaluate in test dataset?

  #14 opened 7 months ago by pierowu
  2

• Problem with link to datasets

  #11 opened 10 months ago by alefiury
  7

• Few shot learning for custom datasets

  #13 opened 10 months ago by depshad
  0

• Missing classes in GPT-3 Knowledge source for Imagenet-1K

  #12 opened 10 months ago by shubhamprshr-tamu
  0

• What parameters are trained in linear probe (LP) exactly?

  #10 opened a year ago by zhilif
  0

• compute all feature need too many memory

  #9 opened a year ago by pandaupc
  0

• Log files not being created

  #8 opened a year ago by AlexanderJLong
  1

• Why is imagenet-1k considered zero shot?

  #7 opened a year ago by jzhang38
  1

• AttributeError when custom model does not have a 'visual' branch

  #6 opened 2 years ago by ChenDelong1999
  1

• Question about automatic hyper-parameter tuning toolkit

  #3 opened 2 years ago by ZhangYuanhan-AI
  4

• efficiency score on parameters-efficiency track

  #5 opened 2 years ago by lynlynlyn
  2

• An error when running mocoV3

  #2 opened 2 years ago by jiayujack
  2