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Found 5 papers, 0 papers with code
GOOD: Towards Domain Generalized Orientated Object Detection
In this paper, we propose the task of domain generalized oriented object detection, which intends to explore the generalization of oriented object detectors on arbitrary unseen target domains.
Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization
To comprehensively learn the relation between informative patches and fine-grained semantics, the multi-instance knowledge distillation is implemented on both the region/image crop pairs from the teacher and student net, and the region-image crops inside the teacher / student net, which we term as intra-level multi-instance distillation and inter-level multi-instance distillation.
Fine-Grained Visual Categorization
Knowledge Distillation
+2
Attention Awareness Multiple Instance Neural Network
Exhaustive experiments on a series of pattern recognition tasks demonstrate that our framework outperforms many state-of-the-art MIL methods and validates the effectiveness of our proposed attention MIL pooling operators.
Learning Instance Representation Banks for Aerial Scene Classification
This unified framework is not trivial as all the local semantic descriptors can be aligned to the same scene scheme, enhancing the scene representation capability.
A Multi-Stage Duplex Fusion ConvNet for Aerial Scene Classification
To this end, a residual-dense duplex fusion strategy is developed to enhance the feature propagation while re-using parameters as much as possible, and is realized by our duplex fusion block (DFblock).
