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Swin-Transformer · Issues· 202 open

Open on GitHub

Locally synced open issues (discussions stay on GitHub)

  • #379

    KeyError: 'LOCAL_RANK'

    Updated Nov 25, 2025
  • #329

    Question about `relative_coords_table` buffer in Swin V2.

    Updated Nov 15, 2025
  • #385

    Use of pretrained_window_size

    Updated Sep 22, 2025
  • #384

    3D Implementation

    Updated Jul 31, 2025
  • #383

    can i use negative sample of images /background images for training does it take

    Updated Jun 3, 2025
  • #100

    The model can not converge

    Updated Apr 11, 2025
  • #378

    Inconsistent Accuracy Jump on Resume – Potential Scaler Issue?

    Updated Apr 1, 2025
  • #382

    How do I use swin-transformer to predict the category of images in my own folder and show size mismatch when I load the model

    Updated Mar 20, 2025
  • #374

    How to input custom image size data, such as 64×64, when training my own dataset using the Swin-TransformerV2?

    Updated Mar 11, 2025
  • #371

    Clarification on Speed Improvement with `fused_window_process` and Its Necessity for Small-Scale Tasks

    Updated Feb 11, 2025
  • #298

    CLS token

    Updated Feb 3, 2025
  • #176

    Why do you use different weight_decay ?

    Updated Feb 3, 2025
  • #377

    swin_transformer_v2.py RuntimeError Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument max in method wrapper_CUDA_clamp_Tensor)

    Updated Jan 20, 2025
  • #375

    Structure of SwinT.

    Updated Dec 27, 2024
  • #256

    Equivalence between Patch Merging and Conv.

    Updated Dec 25, 2024