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Tao Wang

4 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
ORCID 0000-0002-2480-878X
same name
  • Tao Wang — 6 papers, h 18
  • Tao Wang — 3 papers
  • Tao Wang — 3 papers
  • Tao Wang — 3 papers
  • Tao Wang — 2 papers, h 2
  • Tao Wang — 2 papers, h 11

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 citedScale MLPerf-0.6 models on Google TPU-v3 Pods

35 citations · 49 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2020★ 8 cited

Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

Yu Li, Tao Wang, Bingyi Kang +4

Solving long-tail large vocabulary object detection with deep learning based models is a challenging and demanding task, which is however under-explored.In this work, we provide th…

cs.CV2020

iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention

Qian Liu, Dongyang Cai, Jie Liu +2

In this report, the method for the iqiyi submission to the task of ActivityNet 2019 Kinetics-700 challenge is described. Three models are involved in the model ensemble stage: TSN,…

cs.LG2019★ 35 cited

Scale MLPerf-0.6 models on Google TPU-v3 Pods

Sameer Kumar, Victor Bitorff, Dehao Chen +9

The recent submission of Google TPU-v3 Pods to the industry wide MLPerf v0.6 training benchmark demonstrates the scalability of a suite of industry relevant ML models. MLPerf defin…

cs.CV2019★ 6 cited

Few-shot Adaptive Faster R-CNN

Tao Wang, Xiaopeng Zhang, Li Yuan +1

To mitigate the detection performance drop caused by domain shift, we aim to develop a novel few-shot adaptation approach that requires only a few target domain images with limited…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.