Change detection methods for remote sensing in the last decade: A comprehensive review

G Cheng, Y Huang, X Li, S Lyu, Z Xu, H Zhao, Q Zhao… - Remote Sensing, 2024 - mdpi.com
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 …

A survey of multimodal-guided image editing with text-to-image diffusion models

X Shuai, H Ding, X Ma, R Tu, YG Jiang… - ar** modern, efficient, lightweight models for dense
predictions while trading off parameters, FLOPs, and performance. Inverted Residual Block …

MeViS: A large-scale benchmark for video segmentation with motion expressions

H Ding, C Liu, S He, X Jiang… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
This paper strives for motion expressions guided video segmentation, which focuses on
segmenting objects in video content based on a sentence describing the motion of the …

One-for-all: Bridge the gap between heterogeneous architectures in knowledge distillation

Z Hao, J Guo, K Han, Y Tang, H Hu… - Advances in Neural …, 2023 - proceedings.neurips.cc
Abstract Knowledge distillation (KD) has proven to be a highly effective approach for
enhancing model performance through a teacher-student training scheme. However, most …

Decoupling static and hierarchical motion perception for referring video segmentation

S He, H Ding - Proceedings of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Referring video segmentation relies on natural language expressions to identify and
segment objects often emphasizing motion clues. Previous works treat a sentence as a …