Methods › Computer Vision › Degridding › Hierarchical Feature Fusion

Hierarchical Feature Fusion

64 papers tagged archive 2025-07-28

Introduced by Sachin Mehta et al. in ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

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

Hierarchical Feature Fusion (HFF) is a feature fusion method employed in ESP and EESP image model blocks for degridding. In the ESP module, concatenating the outputs of dilated convolutions gives the ESP module a large effective receptive field, but it introduces unwanted checkerboard or gridding artifacts. To address the gridding artifact in ESP, the feature maps obtained using kernels of different dilation rates are hierarchically added before concatenating them (HFF). This solution is simple and effective and does not increase the complexity of the ESP module.

PaperSource

Papers archive 2025-07-28

30 shown of 64, 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

20 shown of 94 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
Speech Recognition13
speech-recognition12
Automatic Speech Recognition10
Automatic Speech Recognition (ASR)9
Semantic Segmentation6
Segmentation5
Object Detection4
Reinforcement Learning4
object-detection4
reinforcement-learning4
Decoder3
GPU3
Language Modeling3
Language Modelling3
Reinforcement Learning (RL)3
Text to Speech3
text-to-speech3
Autonomous Driving2
Deep Learning2
Image Classification2

Usage over time archive 2025-07-28

Papers per year tagged with Hierarchical Feature Fusion: 2018 to 2025, peak 15 15 0 2018: 6 papers 2018 2019: 4 papers 2019 2020: 9 papers 2020 2021: 5 papers 2021 2022: 13 papers 2022 2023: 8 papers 2023 2024: 15 papers 2024 2025: 4 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (64 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

Degridding

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