1 citations · 1 across the 6 of their papers we have counts for
6 papers
Propensity-driven Uncertainty Learning for Sample Exploration in Source-Free Active Domain Adaptation
Zicheng Pan, Xiaohan Yu, Weichuan Zhang +1
Source-free active domain adaptation (SFADA) addresses the challenge of adapting a pre-trained model to new domains without access to source data while minimizing the need for targ…
A novel spatial-frequency domain network for zero-shot incremental learning
Jie Ren, Yang Zhao, Weichuan Zhang +1
Zero-shot incremental learning aims to enable the model to generalize to new classes without forgetting previously learned classes. However, the semantic gap between old and new sa…
Track-before-detect Algorithm based on Cost-reference Particle Filter Bank for Weak Target Detection
Jin Lu, Guojie Peng, Weichuan Zhang +1
Detecting weak target is an important and challenging problem in many applications such as radar, sonar etc. However, conventional detection methods are often ineffective in this c…
Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection
Jie Ren, Wenya Yu, Jiapan Guo +2
Interest point detection methods have received increasing attention and are widely used in computer vision tasks such as image retrieval and 3D reconstruction. In this work, second…
Corner Detection Based on Multi-directional Gabor Filters with Multi-scales
Huaqing Wang, Junfeng Jing, Ning Li +2
Gabor wavelet is an essential tool for image analysis and computer vision tasks. Local structure tensors with multiple scales are widely used in local feature extraction. Our resea…
Color Image Edge Detection using Multi-scale and Multi-directional Gabor filter
Yunhong Li, Yuandong Bi, Weichuan Zhang +2
In this paper, a color edge detection method is proposed where the multi-scale Gabor filter are used to obtain edges from input color images. The main advantage of the proposed met…