Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting

Object detection models are commonly used for people counting (and localization) in many applications but require a dataset with costly bounding box annotations for training. Given the importance of privacy in people counting, these models rely more and more on infrared images, making the task even harder. In this paper, we explore how weaker levels of supervision can affect the performance of deep person counting architectures for image classification and point-level localization. Our experiments indicate that counting people using a CNN Image-Level model achieves competitive results with YOLO detectors and point-level models, yet provides a higher frame rate and a similar amount of model parameters.Comment: Accepted in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 202

En forgeant la transition

Désigné Premier ministre par le Conseil des sages en mars 2004, jai accepté de diriger le gouvernement de transition qui se mettait en place. Haïti était alors considéré comme un pays en faillite. À cause dune inflation galopante, la misère chronique navait jamais pesé aussi lourdement sur les masses populaires, léconomie était en lambeaux, le secteur privé des affaires affaibli et dévasté, les institutions nationales dans un état généralisé de délabrement, les cas de vols, viols, denlèvement et dassassinats devenus le quotidien des citoyens. Enfin une polarisation extrême et un tissu national déchiré laissaient se profiler le spectre de la guerre civile

A systematic review of oral fungal infections in patients receiving cancer therapy

Purpose: The aims of this systematic review were to determine, in patients receiving cancer therapy, the prevalence of clinical oral fungal infection and fungal colonization, to determine the impact on quality of life and cost of care, and to review current management strategies for oral fungal infections. Methods: Thirty-nine articles that met the inclusion/exclusion criteria were independently reviewed by two calibrated reviewers, each using a standard form. Information was extracted on a number of variables, including study design, study population, sample size, interventions, blinding, outcome measures, methods, results, and conclusions for each article. Areas of discrepancy between the two reviews were resolved by consensus. Studies were weighted as to the quality of the study design, and recommendations were based on the relative strength of each paper. Statistical analyses were performed to determine the weighted prevalence of clinical oral fungal infection and fungal colonization. Results: For all cancer treatments, the weighted prevalence of clinical oral fungal infection was found to be 7.5% pretreatment, 39.1% during treatment, and 32.6% after the end of cancer therapy. Head and neck radiotherapy and chemotherapy were each independently associated with a significantly increased risk for oral fungal infection. For all cancer treatments, the prevalence of oral colonization with fungal organisms was 48.2% before treatment, 72.2% during treatment, and 70.1% after treatment. The prophylactic use of fluconazole during cancer therapy resulted in a prevalence of clinical fungal infection of 1.9%. No information specific to oral fungal infections was found on quality of life or cost of care. Conclusions: There is an increased risk of clinically significant oral fungal infection during cancer therapy. Systemic antifungals are effective in the prevention of clinical oral fungal infection in patients receiving cancer therapy. Currently available topical antifungal agents are less efficacious, suggesting a need for better topical agents. © Springer-Verlag 2010