The impact of related party sales by listed Chinese firms on earnings informativeness and analysts forecasts

Ministry of Education, Singapore under its Academic Research Funding Tier

Learning Discriminative Features with Multiple Granularities for Person Re-Identification

The combination of global and partial features has been an essential solution to improve discriminative performances in person re-identification (Re-ID) tasks. Previous part-based methods mainly focus on locating regions with specific pre-defined semantics to learn local representations, which increases learning difficulty but not efficient or robust to scenarios with large variances. In this paper, we propose an end-to-end feature learning strategy integrating discriminative information with various granularities. We carefully design the Multiple Granularity Network (MGN), a multi-branch deep network architecture consisting of one branch for global feature representations and two branches for local feature representations. Instead of learning on semantic regions, we uniformly partition the images into several stripes, and vary the number of parts in different local branches to obtain local feature representations with multiple granularities. Comprehensive experiments implemented on the mainstream evaluation datasets including Market-1501, DukeMTMC-reid and CUHK03 indicate that our method has robustly achieved state-of-the-art performances and outperformed any existing approaches by a large margin. For example, on Market-1501 dataset in single query mode, we achieve a state-of-the-art result of Rank-1/mAP=96.6%/94.2% after re-ranking.Comment: 9 pages, 5 figures. To appear in ACM Multimedia 201

Measurement of Infrared Transmissivity of Smoke Using a Thermal Imager

The smoke is an effective camouflage method and is widely used in the modern battlefields.The smoke chamber test is used quantitatively to extinct the energies of the smoke material. Inthe smoke chamber test, a key problem is to accurately measure the transmissivity of the smoke.In this paper, the relationship between the temperatures measured and the radiation received bythe thermal imager has been disussed. The equation to accurately calculate the infraredtransmissivity of the smoke from the measured temperature is deduced. This equation is alsocompared with the simplified one