"examples/tensorflow/dgi/gcn.py" did not exist on "0a78dbe12a90845e1010adcf76f71f04f7386bd1"
  1. 28 Apr, 2022 3 commits
  2. 27 Apr, 2022 10 commits
  3. 26 Apr, 2022 3 commits
  4. 25 Apr, 2022 4 commits
  5. 22 Apr, 2022 2 commits
    • Vasilis Vryniotis's avatar
      Restructuring metrics meta-data (#5859) · 6f016dd9
      Vasilis Vryniotis authored
      * Restructuring metrics meta-data for detection, segmentation and optical flow.
      
      * Renaming acc to pixel_acc for segmentation
      
      * Restructure video meta-data.
      
      * Restructure classification and quantization meta-data.
      
      * Fix tests.
      
      * Fix documentation
      6f016dd9
    • YosuaMichael's avatar
      Adding revamp docs for vision_transformers and regnet (#5856) · ca265374
      YosuaMichael authored
      * Add docs for regnet, still need to update the comment docs on models
      
      * Fix a little typo on .rst file
      
      * Update regnet docstring
      
      * Add vision_transformer docs, and fix typo on regnet docs
      
      * Update docstring to make sure it does not exceed 120 chars per line
      
      * Improve formatting
      
      * Change the new line location for vision_transformer docstring
      ca265374
  6. 21 Apr, 2022 2 commits
  7. 20 Apr, 2022 1 commit
  8. 19 Apr, 2022 4 commits
  9. 18 Apr, 2022 1 commit
  10. 11 Apr, 2022 1 commit
    • YosuaMichael's avatar
      Add SWAG model weight that only the linear head is finetuned to ImageNet1K (#5793) · 3fa24148
      YosuaMichael authored
      * Add SWAG model that only the linear classifier head is finetuned with frozen trunk weight
      
      * Add accuracy from experiments
      
      * Change name from SWAG_LC to SWAG_LINEAR
      
      * Add comment on SWAG_LINEAR weight
      
      * Remove the comment docs (moved to PR description), and add the PR url as recipe. Also change name of previous swag model to SWAG_E2E_V1
      3fa24148
  11. 06 Apr, 2022 3 commits
  12. 05 Apr, 2022 2 commits
    • Vasilis Vryniotis's avatar
      Post-paper Detection Optimizations (#5444) · 08cc9a7f
      Vasilis Vryniotis authored
      * Use frozen BN only if pre-trained.
      
      * Add LSJ and ability to from scratch training.
      
      * Fixing formatter
      
      * Adding `--opt` and `--norm-weight-decay` support in Detection.
      
      * Fix error message
      
      * Make ScaleJitter proportional.
      
      * Adding more norm layers in split_normalization_params.
      
      * Add FixedSizeCrop
      
      * Temporary fix for fill values on PIL
      
      * Fix the bug on fill.
      
      * Add RandomShortestSize.
      
      * Skip resize when an augmentation method is used.
      
      * multiscale in [480, 800]
      
      * Add missing star
      
      * Add new RetinaNet variant.
      
      * Add tests.
      
      * Update expected file for old retina
      
      * Fixing tests
      
      * Add FrozenBN to retinav2
      
      * Fix network initialization issues
      
      * Adding BN support in MaskRCNNHeads and FPN
      
      * Adding support of FasterRCNNHeads
      
      * Introduce norm_layers in backbone utils.
      
      * Bigger RPN head + 2x rcnn v2 models.
      
      * Adding gIoU support to retinanet
      
      * Fix assert
      
      * Add back nesterov momentum
      
      * Rename and extend `FastRCNNConvFCHead` to support arbitrary FCs
      
      * Fix linter
      08cc9a7f
    • YosuaMichael's avatar
      Adding the huge vision transformer from SWAG (#5721) · 63576c9f
      YosuaMichael authored
      
      
      * Add vit_b_16_swag
      
      * Better handling idiom for image_size, edit test_extended_model to handle case where number of param differ from default due to different image size input
      
      * Update the accuracy to the experiment result on torchvision model
      
      * Fix typo missing underscore
      
      * raise exception instead of torch._assert, add back publication year (accidentally deleted)
      
      * Add license information on meta and readme
      
      * Improve wording and fix typo for pretrained model license in readme
      
      * Add vit_l_16 weight
      
      * Update README.rst
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      
      * Update the accuracy meta on vit_l_16_swag model to result from our experiment
      
      * Add vit_h_14_swag model
      
      * Add accuracy from experiments
      
      * Add to vit_h_16 model to hubconf.py
      
      * Add docs and expected pkl file for test
      
      * Remove legacy compatibility for ViT_H_14 model
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      
      * Test vit_h_14 with smaller image_size to speedup the test
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      63576c9f
  13. 04 Apr, 2022 1 commit
  14. 01 Apr, 2022 3 commits