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20212024
most citedRGB-T Semantic Segmentation with Location, Activation, and Sharpening

187 citations · 313 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams

Ziqiang Wang, Zhixiang Chi, Yanan Wu +4

Given a model trained on source data, Test-Time Adaptation (TTA) enables adaptation and inference in test data streams with domain shifts from the source. Current methods predomina…

cs.CV2023★ 37 cited

Texture-Semantic Collaboration Network for ORSI Salient Object Detection

Gongyang Li, Zhen Bai, Zhi Liu

Salient object detection (SOD) in optical remote sensing images (ORSIs) has become increasingly popular recently. Due to the characteristics of ORSIs, ORSI-SOD is full of challenge…

cs.CV2022★ 187 cited

RGB-T Semantic Segmentation with Location, Activation, and Sharpening

Gongyang Li, Yike Wang, Zhi Liu +2

Semantic segmentation is important for scene understanding. To address the scenes of adverse illumination conditions of natural images, thermal infrared (TIR) images are introduced…

cs.LG2022★ 1 cited

Few-Shot Learning of Compact Models via Task-Specific Meta Distillation

Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh +2

We consider a new problem of few-shot learning of compact models. Meta-learning is a popular approach for few-shot learning. Previous work in meta-learning typically assumes that t…

cs.CV2021★ 88 cited

Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network

Linwei Ye, Mrigank Rochan, Zhi Liu +2

We consider the problem of referring segmentation in images and videos with natural language. Given an input image (or video) and a referring expression, the goal is to segment the…