most citedTowards Efficient Visual Adaption via Structural Re-parameterization

28 citations · 36 across the 6 of their papers we have counts for

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cs.CV20241 cited

3D-GRES: Generalized 3D Referring Expression Segmentation

Changli Wu, Yihang Liu, Jiayi Ji +6

3D Referring Expression Segmentation (3D-RES) is dedicated to segmenting a specific instance within a 3D space based on a natural language description. However, current approaches…

cs.CV20243 cited

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Gen Luo, Yiyi Zhou, Yuxin Zhang +3

Despite remarkable progress, existing multimodal large language models (MLLMs) are still inferior in granular visual recognition. Contrary to previous works, we study this problem…

cs.CV2023

3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation

Changli Wu, Yiwei Ma, Qi Chen +4

In 3D Referring Expression Segmentation (3D-RES), the earlier approach adopts a two-stage paradigm, extracting segmentation proposals and then matching them with referring expressi…

cs.CV202328 cited

Towards Efficient Visual Adaption via Structural Re-parameterization

Gen Luo, Minglang Huang, Yiyi Zhou +4

Parameter-efficient transfer learning (PETL) is an emerging research spot aimed at inexpensively adapting large-scale pre-trained models to downstream tasks. Recent advances have a…

cs.CV2023

Active Teacher for Semi-Supervised Object Detection

Peng Mi, Jianghang Lin, Yiyi Zhou +7

In this paper, we study teacher-student learning from the perspective of data initialization and propose a novel algorithm called Active Teacher(Source code are available at: \url{…

cs.CV20234 cited

Towards End-to-end Semi-supervised Learning for One-stage Object Detection

Gen Luo, Yiyi Zhou, Lei Jin +2

Semi-supervised object detection (SSOD) is a research hot spot in computer vision, which can greatly reduce the requirement for expensive bounding-box annotations. Despite great su…