mahyarnajibi/SNIPER

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2690 stars · 435 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

SNIPER is an efficient multi-scale training algorithm for object detection and instance segmentation that processes only context regions (chips) around ground-truth objects instead of full image pyramids. AutoFocus is its companion inference algorithm that uses coarse-to-fine FocusPixels to only refine regions likely to contain small objects.

Use cases

• train object detectors efficiently on multi-scale image pyramids
• speed up multi-scale inference for small object detection
• train instance segmentation models with large batch sizes on limited GPUs
• detect small objects in high-resolution images faster
• reproduce SNIPER and AutoFocus research results on COCO
• train detectors with batch normalization without cross-GPU synchronization

When to choose

• you need efficient multi-scale training or inference for object detection or instance segmentation
• you want to reproduce published SNIPER/AutoFocus results on COCO
• you have GPU resources and want large-batch detector training on a single node
• small object detection speed and accuracy matter for your pipeline

When to avoid

• you need a maintained production object detection framework - the code is research-grade with a nonstandard license and infrequent updates
• you want a simple pretrained detector API without deep learning research experience
• you work outside the CUDA/GPU Linux environment the code targets
• you need modern architectures or tooling beyond what this 2018-2021 research codebase supports

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning image-processing python object-detection instance-segmentation multi-scale-training multi-scale-inference research-code coco neurips-2018 iccv-2019 linux gpu cuda

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mahyarnajibi/SNIPER")