Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes

When used in a real-world noisy environment, the capacity to generalize to multiple domains is essential for any autonomous scene text spotting system. However, existing state-of-the-art methods employ pretraining and fine-tuning strategies on natural scene datasets, which do not exploit the feature interaction across other complex domains. In this work, we explore and investigate the problem of domain-agnostic scene text spotting, i.e., training a model on multi-domain source data such that it can directly generalize to target domains rather than being specialized for a specific domain or scenario. In this regard, we present the community a text spotting validation benchmark called Under-Water Text (UWT) for noisy underwater scenes to establish an important case study. Moreover, we also design an efficient super-resolution based end-to-end transformer baseline called DA-TextSpotter which achieves comparable or superior performance over existing text spotting architectures for both regular and arbitrary-shaped scene text spotting benchmarks in terms of both accuracy and model efficiency. The dataset, code and pre-trained models will be released upon acceptance.Comment: 10 image

Objective assessment of circadian activity and sleep patterns in individuals at behavioural risk of hypomania.

Although sleep and circadian rhythm disturbances are significant features of bipolar disorder and are associated with illness severity and recurrence, less is known about their significance prior to illness onset. Therefore, this study investigated these variables using objective assessment methods within a sample at high-risk of bipolar spectrum disorders. Thirty-one high-risk and 24 age- and gender-matched control participants wore an actigraph for 7 days to obtain sleep and circadian activity data. Self-report measures of mood, bed and get-up times, and cognitive style were also obtained. High-risk participants exhibited greater variability in duration, fragmentation, and efficiency of sleep, shorter sleep duration, and later and more variable bedtimes than controls. They also had lower relative amplitude of activity patterns and made more positive self-appraisals for hypomanic experiences. Logistic regression showed that positive self-appraisal and variability in bedtime significantly discriminated between the two groups. Results suggest that sleep and circadian activity differences are apparent in high-risk participants and, therefore, may not simply represent an artifact of the illness. Such individuals also report cognitive styles consistent with those observed in bipolar patients. Relevance of these results to current evolutions of the instability theory of bipolar disorder is discussed

Overconfidence in Forecasts of Own Performance: An Experimental Study

Systematic overconfidence by individuals regarding their abilities and prospects could have important economic consequences. But overconfidence has received little direct testing within economics. We use experiments to test for overconfidence in people's forecasts of their absolute or relative performance in two unfamiliar tasks. Given their chosen effort, participants have incentives to forecast accurately, with opportunities for feedback, learning and revision. Forecasts are evaluated at aggregate and individual levels. We find zero mean error or underconfidence far more prevalent than overconfidence. Underconfidence is greatest in forecasts of absolute rather than relative performance and among those using greater effort quantity or quality. Copyright � The Author(s). Journal compilation � Royal Economic Society 2009.

Cognitive-behavioural treatment of first diagnosis bipolar disorder.

Cognitive-behavioural therapy can lead to significant improvements in relapse and inter-episode functioning for individuals with an established course of bipolar disorder. Both psychiatric and psychological models of bipolar disorder suggest that there may be additional benefits in offering this approach earlier in the illness course. This paper reports on the application of a modified cognitive-behavioural approach for individuals after first diagnosis of bipolar disorder using a single case approach across seven participants. Evidence is reported for improvements in mood symptoms and hopelessness following treatment, as well as increased self-control behaviours, more stable activity patterns and increased ability to detect and coping with early warning signs. Implications of these initial findings for future research are discussed

Clinical features, neuropsychology and neuroimaging in bipolar and borderline personality disorder: a systematic review of cross-diagnostic studies

Background: Bipolar Disorder (BD) and Borderline Personality Disorder (BPD) have clinically been evolving as separate disorders, though there is still debate on the nosological valence of both conditions, their interaction in terms of co-morbidity or disorder spectrum and their distinct pathophysiology. Objective: The objective of this review is to summarize evidence regarding clinical features, neuropsychological performance and neuroimaging findings from cross-diagnostic studies comparing BD and BPD, to further caracterize their complex interplay. Methods: Using PubMed, PsycINFO and TripDataBase, we conducted a systematic literature search based on PRISMA guidelines of studies published from January 1980 to September 2019 which directly compared BD and BPD. Results: A total of 28 studies comparing BD and BPD were included: 19 compared clinical features, 6 neuropsychological performance and three neuroimaging abnormalities. Depressive symptoms have an earlier onset in BPD than BD. BD patients present more mixed or manic symptoms, with BD-I differing from BPD in manic phases. BPD patients show more negative attitudes toward others and self, more conflictive interpersonal relationships, and more maladaptive regulation strategies in affective instability with separate pathways. Impulsivity seems more a trait in BPD rather than a state as in BD. Otherwise, BD and BPD overlap in depressive and anxious symptoms, dysphoria, various abnormal temperamental traits, suicidal ideation, and childhood trauma. Both disorders differ and share deficits in neuropsychological and neuroimaging findings. Conclusion: Clinical data provide evidence of overlapping features in both disorders, with most of those shared symptoms being more persistent and intense in BPD. Thus, categorical classifications should be compared to dimensional approaches in transdiagnostic studies investigating BPD features in BD regarding their respective explanatory power for individual trajectories. Systematic Review Registration: The search strategy was pre-registered in PROSPERO: CRD42018100268