Study on the Healthy Risk of the Workers: a survey in the Yangtse Rive Delta

Problems of occupational health and safety in small and medium size enterprises are severe in China. With this paucity of official statistics documenting work-related injuries, the auther undertook a project in the Yangtse Rive Delta last year in the hopes of injecting at least some preliminary data into the public discourse. The epidemic of work-related injuries, and the failure of local business and govennnent to address it either through prevention or adequate compensation stems from two functional dimensions: the technical and the institutional. The technical level includes the physical causes of work-related injuries, which are not unique to the Yangtse Rive Delta. The institutional problems, on the other hand, are rooted in China's unique developmental history, politics and growth. These include the absence of legal aid institutions, poor government oversight and official corruption on the local and provincial levels. Key words: healthy risk, workers, survey Résumé: Les problèmes de santé et de sécurité professionnelles dans les petites et moyennes entreprises s’avèrent graves en Chine. Avec l’insuffisance de statistiques officielles documentant l’accident du travail, l’auteur a effectué l’année dernière un projet dans le delta du Yangtsé dans l’espoir d’injecter au moins des données préliminaires dans la conversation du public. L’augmentation des accidents du travail, l’échec des entreprises locales et du gouvernement à résoudre le problème soit par la prévention soit par la compensation adéquate sur les plans technique et institutionnel. Le niveau technique inclut les causes physiques de l’accident du travail qui n’est pas unique dans le delta du Yangtsé. De l’autre côté, les problèmes institutionnels s’enracinent dans l’unique histoire de développement de la Chine, ses politiques et sa croissance, comme l’absence d’aide institutionnelle légale, la vue courte du gouvernement et la corruption des officiers à l’échelle locale et provinciale. Mots-Clés: risque de santé, travailleurs, enquêt

Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networks

We propose a novel framework called Semantics-Preserving Adversarial Embedding Network (SP-AEN) for zero-shot visual recognition (ZSL), where test images and their classes are both unseen during training. SP-AEN aims to tackle the inherent problem --- semantic loss --- in the prevailing family of embedding-based ZSL, where some semantics would be discarded during training if they are non-discriminative for training classes, but could become critical for recognizing test classes. Specifically, SP-AEN prevents the semantic loss by introducing an independent visual-to-semantic space embedder which disentangles the semantic space into two subspaces for the two arguably conflicting objectives: classification and reconstruction. Through adversarial learning of the two subspaces, SP-AEN can transfer the semantics from the reconstructive subspace to the discriminative one, accomplishing the improved zero-shot recognition of unseen classes. Comparing with prior works, SP-AEN can not only improve classification but also generate photo-realistic images, demonstrating the effectiveness of semantic preservation. On four popular benchmarks: CUB, AWA, SUN and aPY, SP-AEN considerably outperforms other state-of-the-art methods by an absolute performance difference of 12.2\%, 9.3\%, 4.0\%, and 3.6\% in terms of harmonic mean value