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Zixin Wang

4 papers hereh-index 485 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1
same name
  • Zixin Wang — 11 papers, h 2
  • Zixin Wang — 4 papers, h 10
  • Zixin Wang — 3 papers, h 4
  • Zixin Wang — 3 papers, h 3
  • Zixin Wang — 2 papers, h 5
  • Zixin Wang — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection

2 citations · 2 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation

Zixin Wang, Dong Gong, Sen Wang +2

Contrastive Language-Image Pretraining (CLIP) excels at learning generalizable image representations but often falls short in zero-shot inference on certain downstream datasets. Te…

cs.CV2024★ 2 cited

DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection

Zhuoxiao Chen, Zixin Wang, Yadan Luo +2

LiDAR-based 3D object detection has seen impressive advances in recent times. However, deploying trained 3D detectors in the real world often yields unsatisfactory performance when…

cs.AI2023

In Search of Lost Online Test-time Adaptation: A Survey

Zixin Wang, Yadan Luo, Liang Zheng +3

This article presents a comprehensive survey of online test-time adaptation (OTTA), focusing on effectively adapting machine learning models to distributionally different target da…

cs.CV2023

Open-CRB: Towards Open World Active Learning for 3D Object Detection

Zhuoxiao Chen, Yadan Luo, Zixin Wang +3

LiDAR-based 3D object detection has recently seen significant advancements through active learning (AL), attaining satisfactory performance by training on a small fraction of strat…

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