v0.16.4

[0.16.4] - 2026-07-24

Added

• Add TIPSv2 vision backbones: dinov2/vitb14-tipsv2, dinov2/vitl14-tipsv2,
  dinov2/vitso400m14-tipsv2, and dinov2/vitg14-tipsv2.
• Add LTDETRv2 instance segmentation with ltdetrv2-seg-s/m/l/x models and
  COCO-pretrained checkpoints for fine-tuning or out-of-the-box inference.
• Add SAHI inference for LTDETRv2 instance segmentation through model.predict_sahi().

Changed

• Warn when a built-in distillation teacher is used with non-ImageNet input
  normalization, which can produce invalid teacher features.

Removed

• Remove the DINOv3.1 pretraining method.

Fixed

• Preserve exponential-moving-average updates when resuming training, preventing a
  spurious validation-metric drop after the first resumed update.
• Skip degenerate predicted boxes during validation visualization and log a warning
  instead of crashing.
• Restore installation and package imports by using a released LightlySSL dependency.

What's Changed

• Install git in Docker image by @mrpositron in #899
• Add TIPSv2 Support by @guarin in #701
• Preserve EMA updates when resuming training by @yutong-xiang-97 in #892
• Add SAHI inference for LT-DETRv2 instance segmentation by @yutong-xiang-97 in #895
• Add documentation on normalization for distillation by @liopeer in #901
• Add LTDETRv2 segmentation COCO checkpoints and defaults by @yutong-xiang-97 in #902
• Add benchmark script for inference by @liopeer in #897
• Reorganize task sections across the README and documentation by @yutong-xiang-97 in #905
• fix: skip degenerate predicted boxes in val visualization instead of crashing by @gabrielfruet in #907
• Update README for LTDETRv2 instance segmentation by @yutong-xiang-97 in #908
• Remove dinov31 by @liopeer in #910
• Bump version to 0.16.4 by @liopeer in #911

Full Changelog: v0.16.3...v0.16.4