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20232026
most citedPredicting Gradient is Better: Exploring Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecture

71 citations · 94 across the 11 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

eess.IV2024

MaDiNet: Mamba Diffusion Network for SAR Target Detection

Jie Zhou, Chao Xiao, Bowen Peng +4

The fundamental challenge in SAR target detection lies in developing discriminative, efficient, and robust representations of target characteristics within intricate non-cooperativ…

cs.CV2024

UEVAVD: A Dataset for Developing UAV's Eye View Active Object Detection

Xinhua Jiang, Tianpeng Liu, Li Liu +2

Occlusion is a longstanding difficulty that challenges the UAV-based object detection. Many works address this problem by adapting the detection model. However, few of them exploit…

cs.CV2024

Enhancing Transferability of Targeted Adversarial Examples: A Self-Universal Perspective

Bowen Peng, Li Liu, Tianpeng Liu +2

Transfer-based targeted adversarial attacks against black-box deep neural networks (DNNs) have been proven to be significantly more challenging than untargeted ones. The impressive…

cs.CV2024

Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher

Jiangming Chen, Li Liu, Wanxia Deng +4

Cross domain object detection learns an object detector for an unlabeled target domain by transferring knowledge from an annotated source domain. Promising results have been achiev…

eess.IV2024★ 4 cited

A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution

Zhixiong Yang, Jingyuan Xia, Shengxi Li +5

Deep learning-based methods have achieved significant successes on solving the blind super-resolution (BSR) problem. However, most of them request supervised pre-training on labell…