Communication overhead is one of the major challenges in Federated
Learn...
With the emergence of privacy leaks in federated learning, secure aggreg...
We present an interactive visual framework named InternGPT, or iGPT for
...
With the increasing demand for oriented object detection e.g. in autonom...
Existing oriented object detection methods commonly use metric AP_50 to
...
High-quality instance segmentation has shown emerging importance in comp...
Oriented object detection emerges in many applications from aerial image...
Existing detection methods commonly use a parameterized bounding box (BB...
Arbitrary-oriented object representations contain the oriented bounding ...
We present an open-source toolbox, named MMRotate, which provides a cohe...
Speaker-independent speech separation has achieved remarkable performanc...
Attention-based methods by establishing one-dimensional (1D) and
two-dim...
Differing from the well-developed horizontal object detection area where...
AlphaRotate is an open-source Tensorflow benchmark for performing scalab...
Large-scale quantum networks have been employed to overcome practical
co...
We classify the discontinuity of loss in both five-param and eight-param...
Origin-Destination (OD) flow, as an abstract representation of the objec...
Existing rotated object detectors are mostly inherited from the horizont...
Arbitrary-oriented objects exist widely in natural scenes, and thus the
...
The cloud computing technique, which was initially used to mitigate the
...
Boundary discontinuity and its inconsistency to the final detection metr...
Rotation detection serves as a fundamental building block in many visual...
Interpretability and effectiveness are two essential and indispensable
r...
Small and cluttered objects are common in real-world which are challengi...
Arbitrary-oriented object detection has recently attracted increasing
at...
Federated learning, as an emerging distributed training model of neural
...
One of the key enablers of future wireless communications is constituted...
Popular rotated detection methods usually use five parameters (coordinat...
In recent years, building change detection methods have made great progr...
Rotation detection is a challenging task due to the difficulties of loca...
We extend the state-of-the-art Cascade R-CNN with a simple feature shari...
The current advances in object detection depend on large-scale datasets ...
Object detection plays a vital role in natural scene and aerial scene an...
Ship detection is of great importance and full of challenges in the fiel...
Ship detection has been playing a significant role in the field of remot...
Apprenticeship learning has recently attracted a wide attention due to i...
Robot awareness of human actions is an essential research problem in rob...