v0.17.0

[0.17.0] - 2026-07-28

Added

Changed

• Raise the default mixup and mosaic probability from 0.5 to 0.75 for
  ltdetrv2-s/m/l/x object detection models. Other LTDETR models are unaffected.
• Lower the default backbone_lr_factor from 0.05 to 0.0025 for ltdetrv2-m/l/x
  object detection models. ltdetrv2-s and other LTDETR models are unaffected.

Deprecated

Removed

Fixed

• Fix incorrect TensorRT inference for LT-DETR object detection and instance
  segmentation. TensorRT's optimizer/fusion pass around the GridSample ops used by
  deformable attention silently produced wrong activations, corrupting detections and
  masks, even with parser-compatible mode names. Deployment/export now replaces
  grid_sample with a gather-based bilinear equivalent that contains no GridSample
  op, so neither the parser mode-name issue nor the optimizer bug can apply; training
  keeps the faster fused grid_sample.

Security

What's Changed

• feat: add ltdetrv2-m-coco and ltdetrv2-l-coco checkpoint aliases by @gabrielfruet in #887
• Add aligned delta1 to metric depth benchmarks by @mrpositron in #913
• Update README with LTDETRv2 m/l benchmark results by @gabrielfruet in #894
• docs: add ltdetrv2 m/l COCO benchmarks and checkpoints by @gabrielfruet in #900
• Document LTDETRv2 instance segmentation by @yutong-xiang-97 in #906
• Match ltdetrv2 mixup/mosaic and backbone LR to benchmark recipe by @gabrielfruet in #914
• Fix LT-DETR ONNX verification by @yutong-xiang-97 in #916
• Fix TensorRT GridSample inference for LT-DETR by @yutong-xiang-97 in #917
• Fix object detection export notebook inference by @yutong-xiang-97 in #918
• release v0.17.0 by @gabrielfruet in #919

Full Changelog: v0.16.4...v0.17.0