output
19992026
most citedBeyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

9.2k citations

Showing 2024Show all

144 papers · 1 filter

cs.CV2024★ 9 cited

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization

Zijie Fang, Yifeng Wang, Peizhang Xie +2

Tissue semantic segmentation is one of the key tasks in computational pathology. To avoid the expensive and laborious acquisition of pixel-level annotations, a wide range of studie…

cs.CV2024★ 5 cited

An Enhanced Classification Method Based on Adaptive Multi-Scale Fusion for Long-tailed Multispectral Point Clouds

TianZhu Liu, BangYan Hu, YanFeng Gu +2

Multispectral point cloud (MPC) captures 3D spatial-spectral information from the observed scene, which can be used for scene understanding and has a wide range of applications. Ho…

cs.CV2024★ 8 cited

Class Balance Matters to Active Class-Incremental Learning

Zitong Huang, Ze Chen, Yuanze Li +6

Few-Shot Class-Incremental Learning has shown remarkable efficacy in efficient learning new concepts with limited annotations. Nevertheless, the heuristic few-shot annotations may…

physics.app-ph2024★ 26 cited

Anderson transition at complex energies in one-dimensional parity-time-symmetric disordered systems

Wei Wang, Xulong Wang, Guancong Ma

The presence of disorder can severely impede wave transport, resulting in the famous Anderson localization. Previous theoretical studies found that Anderson transition can exist in…

cs.CV2024★ 1 cited

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling

Jie Ning, Jiebao Sun, Shengzhu Shi +4

Deep learning-based image denoising models demonstrate remarkable performance, but their lack of robustness analysis remains a significant concern. A major issue is that these mode…

cs.CV2024★ 18 cited

Toward Visual Grounding: A Survey

Linhui Xiao, Xiaoshan Yang, Xiangyuan Lan +2

Visual Grounding, also known as Referring Expression Comprehension and Phrase Grounding, aims to ground the specific region(s) within the image(s) based on the given expression tex…