activity
20152020
most citedResNeSt: Split-Attention Networks

456 citations · 1.4k across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 1 cited

Differential Viewpoints for Ground Terrain Material Recognition

Jia Xue, Hang Zhang, Ko Nishino +1

Computational surface modeling that underlies material recognition has transitioned from reflectance modeling using in-lab controlled radiometric measurements to image-based repres…

cs.CV2020★ 12 cited

Character Matters: Video Story Understanding with Character-Aware Relations

Shijie Geng, Ji Zhang, Zuohui Fu +3

Different from short videos and GIFs, video stories contain clear plots and lists of principal characters. Without identifying the connection between appearing people and character…

cs.CV2020★ 35 cited

Improving Semantic Segmentation via Self-Training

Yi Zhu, Zhongyue Zhang, Chongruo Wu +6

Deep learning usually achieves the best results with complete supervision. In the case of semantic segmentation, this means that large amounts of pixelwise annotations are required…

cs.CV2020★ 456 cited

ResNeSt: Split-Attention Networks

Hang Zhang, Chongruo Wu, Zhongyue Zhang +9

It is well known that featuremap attention and multi-path representation are important for visual recognition. In this paper, we present a modularized architecture, which applies t…

stat.ML2020★ 157 cited

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Nick Erickson, Jonas Mueller, Alexander Shirkov +4

We introduce AutoGluon-Tabular, an open-source AutoML framework that requires only a single line of Python to train highly accurate machine learning models on an unprocessed tabula…