5 papers
Frequency-Spatial Interaction Driven Network for Low-Light Image Enhancement
Yunhong Tao, Wenbing Tao, Xiang Xiang
Low-light image enhancement (LLIE) aims at improving the perception or interpretability of an image captured in an environment with poor illumination. With the advent of deep learn…
LOC: A General Language-Guided Framework for Open-Set 3D Occupancy Prediction
Yuhang Gao, Xiang Xiang, Sheng Zhong +1
Vision-Language Models (VLMs) have shown significant progress in open-set challenges. However, the limited availability of 3D datasets hinders their effective application in 3D sce…
Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
Jiaxin Dai, Xiang Xiang
In the field of machine learning, hyperbolic space demonstrates superior representation capabilities for hierarchical data compared to conventional Euclidean space. This work focus…
OpenHAIV: A Framework Towards Practical Open-World Learning
Xiang Xiang, Qinhao Zhou, Zhuo Xu +4
Substantial progress has been made in various techniques for open-world recognition. Out-of-distribution (OOD) detection methods can effectively distinguish between known and unkno…
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
Xiang Xiang, Zhuo Xu, Yao Deng +7
The advancement of remote sensing, including satellite systems, facilitates the continuous acquisition of remote sensing imagery globally, introducing novel challenges for achievin…