Oct 25, 2021 · The framework introduces a learnable conditional decoding module, which retrieves information given each target instance as query. Specifically, ...
In this paper, we propose a conditional distillation framework to distill the desired knowledge, namely knowledge that is beneficial in terms of both ...
This is the official implementation of the paper "Instance-conditional Knowledge Distillation for Object Detection", based on MegEngine and Pytorch.
Jun 10, 2024 · In this paper, we propose a conditional distillation framework to distill the desired knowledge, namely knowledge that is beneficial in terms of ...
A conditional distillation framework to distill the desired knowledge, namely knowledge that is beneficial in terms of both classification and localization ...
Jan 6, 2022 · In this paper, we propose a conditional distillation framework to distill the desired knowledge, namely knowledge that is beneficial in terms of ...
We propose to learn instance-aware attention to find and distill information that correlate with each instance. Previous KD methods for object detection ...
[PDF] Instance-Conditional Distillation for Object Detection - OpenReview
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Improve object detection with feature-based knowledge. 124 distillation: Towards accurate and efficient detectors. In International Conference on Learning. 125.
A curated list of awesome distillation techniques designed for object detectors. Parameters compression and accuracy boosting are core problems for object ...
In this paper, we propose a conditional distillation framework to distill the desired knowledge, namely knowledge that is beneficial in terms of both ...