122 citations · 236 across the 8 of their papers we have counts for
8 papers
Small Object Detection for Birds with Swin Transformer
Da Huo, Marc A. Kastner, Tingwei Liu +4
Object detection is the task of detecting objects in an image. In this task, the detection of small objects is particularly difficult. Other than the small size, it is also accompa…
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi +19
Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a ch…
Carbon Monitor Europe, near-real-time daily CO emissions for 27 EU countries and the United Kingdom
Piyu Ke, Zhu Deng, Biqing Zhu +17
With the urgent need to implement the EU countries pledges and to monitor the effectiveness of Green Deal plan, Monitoring Reporting and Verification tools are needed to track how…
Near-real-time global gridded daily CO emissions 2021
Xinyu Dou, Jinpyo Hong, Philippe Ciais +22
We present a near-real-time global gridded daily CO emissions dataset (GRACED) throughout 2021. GRACED provides gridded CO emissions at a 0.1degree*0.1degree spatial resolu…
Carbon Monitor-Power: near-real-time monitoring of global power generation on hourly to daily scales
Biqing Zhu, Xuanren Song, Zhu Deng +13
We constructed a frequently updated, near-real-time global power generation dataset: Carbon Monitor-Power since January, 2016 at national levels with near-global coverage and hourl…
Near-real-time estimates of daily CO2 emissions from 1500 cities worldwide
Da Huo, Xiaoting Huang, Xinyu Dou +19
Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO2) emissions, here we present and analyze a new city-level dataset of fossil fuel and cement…
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising
Xiangyu Liu, Chuan Yu, Zhilin Zhang +10
In e-commerce advertising, it is crucial to jointly consider various performance metrics, e.g., user experience, advertiser utility, and platform revenue. Traditional auction mecha…
Building Interpretable Interaction Trees for Deep NLP Models
Die Zhang, Huilin Zhou, Hao Zhang +6
This paper proposes a method to disentangle and quantify interactions among words that are encoded inside a DNN for natural language processing. We construct a tree to encode salie…