… to decouple the learning of detection and feature flow networks in our video object detection
system. Concretely, we learn to detect objects and estimate high-level feature flow … detection …

… To address this problem, we propose a label decoupling framework (LDF) which consists
of a label decoupling (LD) procedure and a feature interaction network (FIN). LD explicitly …

… by feature similarity between classes and insufficient feature extraction. In this paper, we
propose a decoupling network architecture, named the Multi-Task Feature Decoupling Network (…

… decoupling and semantic inconsistency. To address these two issues, we propose
Heterogeneous task decoupling (HTD) framework for object detection… for task-decoupling. …

… propose a novel Decoupling and Integration Network (DINet) to detect camouflaged objects.
… as the iterative decoupling and integration of the body features and detail features, where …

… Figure 1 overviews the working flow of the proposed contrastive feature decoupling …
feature atoms stored in the memory bank, our contrastive feature decoupling is able to decouple …

… This paper makes hardware support for DIFT cost-effective by decoupling DIFT functionality
onto a simple, separate coprocessor. Decoupling is possible because DIFT operations and …

… and black dotted lines represent forward flow and gradient flow. … of feature-forward and
gradient-backward, we introduce a novel architectural unit, denoted as the Gradient Decoupled …

… Such a layer-wise sequential computation flow can cause … structural decoupling method,
which could decouple CNN … Based on this method, we redefine the CNN computation flow into …

… reasons for pulsatile tinnitus since the blood flow murmurs will propagate to the ear cavity
without the barrier of the bone wall. Accurate detection of the absence of bone wall in the …