338 citations · 1.4k across the 59 of their papers we have counts for
10 papers · 1 filter
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification
Yanbiao Ma, Licheng Jiao, Fang Liu +3
Real-world data are long-tailed, the lack of tail samples leads to a significant limitation in the generalization ability of the model. Although numerous approaches of class re-bal…
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch
Pucheng Zhai, Kailing Guo, Fang Liu +2
Structured pruning is a commonly used convolutional neural network (CNN) compression approach. Pruning rate setting is a fundamental problem in structured pruning. Most existing wo…
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
Fan Liu, Delong Chen, Zhangqingyun Guan +5
General-purpose foundation models have led to recent breakthroughs in artificial intelligence. In remote sensing, self-supervised learning (SSL) and Masked Image Modeling (MIM) hav…
Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention
Fangfu Liu, Chubin Zhang, Yu Zheng +1
In this paper, we aim to learn a semantic radiance field from multiple scenes that is accurate, efficient and generalizable. While most existing NeRFs target at the tasks of neural…
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
Yanbiao Ma, Licheng Jiao, Fang Liu +6
To address the challenges of long-tailed classification, researchers have proposed several approaches to reduce model bias, most of which assume that classes with few samples are w…
Delving into Semantic Scale Imbalance
Yanbiao Ma, Licheng Jiao, Fang Liu +3
Model bias triggered by long-tailed data has been widely studied. However, measure based on the number of samples cannot explicate three phenomena simultaneously: (1) Given enough…
dual unet:a novel siamese network for change detection with cascade differential fusion
Kaixuan Jiang, Ja Liu, Fang Liu +2
Change detection (CD) of remote sensing images is to detect the change region by analyzing the difference between two bitemporal images. It is extensively used in land resource pla…
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Yuting Yang, Licheng Jiao, Xu Liu +4
Dynamic attention mechanism and global modeling ability make Transformer show strong feature learning ability. In recent years, Transformer has become comparable to CNNs methods in…
MWQ: Multiscale Wavelet Quantized Neural Networks
Qigong Sun, Yan Ren, Licheng Jiao +3
Model quantization can reduce the model size and computational latency, it has become an essential technique for the deployment of deep neural networks on resourceconstrained hardw…
Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization
Qigong Sun, Licheng Jiao, Yan Ren +3
Since model quantization helps to reduce the model size and computation latency, it has been successfully applied in many applications of mobile phones, embedded devices and smart…