activity
20232025
most citedBig-model Driven Few-shot Continual Learning

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Semantic Discrepancy-aware Detector for Image Forgery Identification

Ziye Wang, Minghang Yu, Chunyan Xu +1

With the rapid advancement of image generation techniques, robust forgery detection has become increasingly imperative to ensure the trustworthiness of digital media. Recent resear…

cs.CV2025

LLM-Assisted Semantic Guidance for Sparsely Annotated Remote Sensing Object Detection

Wei Liao, Chunyan Xu, Chenxu Wang +1

Sparse annotation in remote sensing object detection poses significant challenges due to dense object distributions and category imbalances. Although existing Dense Pseudo-Label me…

eess.IV2024

MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation

Jialin Luo, Yuanzhi Wang, Ziqi Gu +7

Recently, the diffusion-based generative paradigm has achieved impressive general image generation capabilities with text prompts due to its accurate distribution modeling and stab…

cs.CV2024

Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection

Chenxu Wang, Chunyan Xu, Ziqi Gu +1

While existing semi-supervised object detection (SSOD) methods perform well in general scenes, they encounter challenges in handling oriented objects in aerial images. We experimen…

cs.CV2023★ 1 cited

Big-model Driven Few-shot Continual Learning

Ziqi Gu, Chunyan Xu, Zihan Lu +3

Few-shot continual learning (FSCL) has attracted intensive attention and achieved some advances in recent years, but now it is difficult to again make a big stride in accuracy due…