Methods › Computer Vision › Multi-Scale Training › SNIPER
SNIPER
Introduced by Bharat Singh et al. in SNIPER: Efficient Multi-Scale Training
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
SNIPER is a multi-scale training approach for instance-level recognition tasks like object detection and instance-level segmentation. Instead of processing all pixels in an image pyramid, SNIPER selectively processes context regions around the ground-truth objects (a.k.a chips). This can help to speed up multi-scale training as it operates on low-resolution chips. Due to its memory-efficient design, SNIPER can benefit from Batch Normalization during training and it makes larger batch-sizes possible for instance-level recognition tasks on a single GPU.
Papers archive 2025-07-28
5 shown of 5, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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CFaults: Model-Based Diagnosis for Fault Localization in C Programs with Multiple Test Cases 12 Jul 2024 · 1 repository · arXiv:2407.09337
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SNIPER Training: Single-Shot Sparse Training for Text-to-Speech 14 Nov 2022 · 0 repositories · arXiv:2211.07283
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Scale Normalized Image Pyramids with AutoFocus for Object Detection 10 Feb 2021 · 1 repository · arXiv:2102.05646
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Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance 15 Oct 2018 · 0 repositories · arXiv:1810.06208
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SNIPER: Efficient Multi-Scale Training 23 May 2018 · 4 repositories · arXiv:1805.09300
Tasks archive 2025-07-28
10 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Object Detection | 3 |
| object-detection | 3 |
| Fault localization | 1 |
| GPU | 1 |
| Object | 1 |
| Region Proposal | 1 |
| TAG | 1 |
| Text to Speech | 1 |
| image-classification | 1 |
| text-to-speech | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections