Methods › Computer Vision › Feature Extractors › TridentNet Block

TridentNet Block

4 papers tagged archive 2025-07-28

Introduced by Yanghao Li et al. in Scale-Aware Trident Networks for Object Detection

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

A TridentNet Block is a feature extractor used in object detection models. Instead of feeding in multi-scale inputs like the image pyramid, in a TridentNet block we adapt the backbone network for different scales. These blocks create multiple scale-specific feature maps. With the help of dilated convolutions, different branches of trident blocks have the same network structure and share the same parameters yet have different receptive fields. Furthermore, to avoid training objects with extreme scales, a scale-aware training scheme is employed to make each branch specific to a given scale range matching its receptive field. Weight sharing is used to prevent overfitting.

PaperSourceSee Code · facebookresearch/detectron2

Papers archive 2025-07-28

4 shown of 4, 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.

Tasks archive 2025-07-28

6 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Object Detection3
Object2
object-detection2
Instance Segmentation1
State Estimation1
Vocal Bursts Valence Prediction1

Usage over time archive 2025-07-28

Papers per year tagged with TridentNet Block: 2019 to 2022, peak 1 1 0 2019: 1 paper 2019 2020: 1 paper 2020 2021: 1 paper 2021 2022: 1 paper 2022
Papers per year the archive tags with this method, by the paper's archive date (4 dated). Bars are counts, not a trend claim.

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

Feature Extractors

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