activity
20202026
most citedTPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

123 citations · 273 across the 26 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CR2023

MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World

Zheng Zhou, Hongbo Zhao, Ju Liu +4

Recent studies have shown that Adversarial Patches (APs) can effectively manipulate object detection models. However, the conspicuous patterns often associated with these patches t…

cs.CV2023

OV-VG: A Benchmark for Open-Vocabulary Visual Grounding

Chunlei Wang, Wenquan Feng, Xiangtai Li +5

Open-vocabulary learning has emerged as a cutting-edge research area, particularly in light of the widespread adoption of vision-based foundational models. Its primary objective is…

cs.CV2023

Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision

Menghao Li, Chunlei Wang, Wenquan Feng +5

Visual Grounding (VG) aims at localizing target objects from an image based on given expressions and has made significant progress with the development of detection and vision tran…

cs.CV2023★ 5 cited

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review

Guangliang Cheng, Yunmeng Huang, Xiangtai Li +4

Change detection is an essential and widely utilized task in remote sensing that aims to detect and analyze changes occurring in the same geographical area over time, which has bro…

cs.CV2023★ 1 cited

Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search

Guangliang Cheng, Peng Sun, Ting-Bing Xu +2

Neural Architecture Search (NAS) has shown great potentials in automatically designing neural network architectures for real-time semantic segmentation. Unlike previous works that…

cs.CV2023★ 2 cited

Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation

Qi Zhao, Shuchang Lyu, Binghao Liu +2

Deep convolutional neural networks (DCNNs) based remote sensing (RS) image semantic segmentation technology has achieved great success used in many real-world applications such as…