Methods › Computer Vision › Object Detection Models › HTCN
Hierarchical Transferability Calibration Network
HTCN
Introduced by Chaoqi Chen et al. in Harmonizing Transferability and Discriminability for Adapting Object Detectors
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Hierarchical Transferability Calibration Network (HTCN) is an adaptive object detector that hierarchically (local-region/image/instance) calibrates the transferability of feature representations for harmonizing transferability and discriminability. The proposed model consists of three components: (1) Importance Weighted Adversarial Training with input Interpolation (IWAT-I), which strengthens the global discriminability by re-weighting the interpolated image-level features; (2) Context-aware Instance-Level Alignment (CILA) module, which enhances the local discriminability by capturing the complementary effect between the instance-level feature and the global context information for the instance-level feature alignment; (3) local feature masks that calibrate the local transferability to provide semantic guidance for the following discriminative pattern alignment.
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.
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Heterogeneous Tri-stream Clustering Network 11 Jan 2023 · 1 repository · arXiv:2301.04451
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Hierarchic Temporal Convolutional Network With Cross-Domain Encoder for Music Source Separation 30 Jun 2022 · 0 repositories
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Cross-Enhancement Transformer for Action Segmentation 19 May 2022 · 1 repository · arXiv:2205.09445
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Harmonizing Transferability and Discriminability for Adapting Object Detectors 13 Mar 2020 · 1 repository · arXiv:2003.06297
Tasks archive 2025-07-28
14 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
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