Methods › General › Skip Connection Blocks › Dilated Bottleneck Block
Dilated Bottleneck Block
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Dilated Bottleneck Block is an image model block used in the DetNet convolutional neural network architecture. It employs a bottleneck structure with dilated convolutions to efficiently enlarge the receptive field.
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.
-
Federated Dynamic Neural Network for Deep MIMO Detection 24 Nov 2021 · 0 repositories · arXiv:2111.12260
-
Green DetNet: Computation and Memory efficient DetNet using Smart Compression and Training 20 Mar 2020 · 0 repositories · arXiv:2003.09446
-
Deep Learning-Aided Tabu Search Detection for Large MIMO Systems 4 Sep 2019 · 0 repositories · arXiv:1909.01683
-
DetNet: Design Backbone for Object Detection 1 Sep 2018 · 0 repositories
-
DetNet: A Backbone network for Object Detection 17 Apr 2018 · 2 repositories · arXiv:1804.06215
Tasks archive 2025-07-28
11 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
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