🏢 University of Electronic Science and Technology of China

Unsupervised model selection for domain adaptive object detection is achieved via a new Detection Adaptation Score (DAS), effectively selecting optimal models without target labels by leveraging the f…

SSDiff: A novel spatial-spectral integrated diffusion model for superior remote sensing pansharpening.

STMixer: a novel SNN architecture enabling high performance on both synchronous and asynchronous neuromorphic hardware, achieving comparable results to spiking transformers with drastically lower powe…

Energy-efficient neuromorphic SSL model achieves state-of-the-art accuracy and robustness using Resonate-and-Fire neurons and a novel multi-auditory attention module.

FeINFN: a novel Fourier-enhanced Implicit Neural Fusion Network, achieves state-of-the-art hyperspectral image fusion by innovatively combining spatial and frequency information in both the spatial an…

COIN: A novel method for Cloud Object Detector Adaptation that integrates knowledge from cloud models and CLIP to train highly accurate target detectors, achieving state-of-the-art performance.

Learned image compression gets a boost with a novel Causal Context Adjustment Loss, improving efficiency without sacrificing quality.

InfoMGF, a novel framework, tackles the limitations of unsupervised multiplex graph learning by refining graph structures, maximizing task-relevant information (both shared and unique), and achieving …