Files
DCN_custom_op/segmentation/configs/ade20k/README.md
Pikaliov 1b3206b6a7 Initial commit: DCNv4 custom op mirror setup
- Add enhanced README with project structure and quick start guide
- Initialize repository with DCNv4 CUDA extension (PyTorch module)
- Include classification, detection, and segmentation subdirectories
- Reference upstream OpenGVLab DCNv4 implementation

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-06-11 10:30:44 +03:00

3.7 KiB

ADE20K

Introduced by Zhou et al. in Scene Parsing Through ADE20K Dataset.

The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels. There are totally 150 semantic categories, which include stuffs like sky, road, grass, and discrete objects like person, car, bed.

Model Zoo

UperNet + InternImage

backbone resolution mIoU (ss/ms) Config Download
FlashInternImage-T 512x512 49.3 / 50.3 config ckpt | log
FlashInternImage-S 512x512 50.6 / 51.6 config ckpt | log
FlashInternImage-B 512x512 52.0 / 52.6 config ckpt | log
FlashInternImage-L 640x640 55.6 / 56.0 config ckpt | log
  • Training speed is measured with A100 GPU.
  • Please set with_cp=True to save memory if you meet out-of-memory issues.
  • The logs are our recent newly trained ones. There are slight differences between the results in logs and our paper.

Mask2Former + InternImage

backbone resolution mIoU (ss) Config Download
FlashInternImage-T 512x512 51.2 config ckpt | log
FlashInternImage-S 640x640 52.2 config ckpt | log
FlashInternImage-B 640x640 53.4 config ckpt | log
FlashInternImage-L 640x640 56.7 config ckpt | log