A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction

The rapid development of deep learning has made a great progress in image segmentation, one of the fundamental tasks of computer vision. However, the current segmentation algorithms mostly rely on the availability of pixel-level annotations, which are often expensive, tedious, and laborious. To alleviate this burden, the past years have witnessed an increasing attention in building label-efficient, deep-learning-based image segmentation algorithms. This paper offers a comprehensive review on label-efficient image segmentation methods. To this end, we first develop a taxonomy to organize these methods according to the supervision provided by different types of weak labels (including no supervision, inexact supervision, incomplete supervision and inaccurate supervision) and supplemented by the types of segmentation problems (including semantic segmentation, instance segmentation and panoptic segmentation). Next, we summarize the existing label-efficient image segmentation methods from a unified perspective that discusses an important question: how to bridge the gap between weak supervision and dense prediction -- the current methods are mostly based on heuristic priors, such as cross-pixel similarity, cross-label constraint, cross-view consistency, and cross-image relation. Finally, we share our opinions about the future research directions for label-efficient deep image segmentation.Comment: Accepted to IEEE TPAM

Mitochondria-localized AMPK responds to local energetics and contributes to exercise and energetic stress-induced mitophagy

Mitochondria form a complex, interconnected reticulum that is maintained through coordination among biogenesis, dynamic fission, and fusion and mitophagy, which are initiated in response to various cues to maintain energetic homeostasis. These cellular events, which make up mitochondrial quality control, act with remarkable spatial precision, but what governs such spatial specificity is poorly understood. Herein, we demonstrate that specific isoforms of the cellular bioenergetic sensor, 5′ AMP-activated protein kinase (AMPKα1/α2/β2/γ1), are localized on the outer mitochondrial membrane, referred to as mitoAMPK, in various tissues in mice and humans. Activation of mitoAMPK varies across the reticulum in response to energetic stress, and inhibition of mitoAMPK activity attenuates exercise-induced mitophagy in skeletal muscle in vivo. Discovery of a mitochondrial pool of AMPK and its local importance for mitochondrial quality control underscores the complexity of sensing cellular energetics in vivo that has implications for targeting mitochondrial energetics for disease treatment

Research on the impacts and mechanisms of digital strategy on corporate innovation investment

This paper empirically examines the impacts and underlying mechanisms of a digital strategy, along with its four constituent indicators, on enterprise innovation investment. Utilizing a vast sample of companies listed on Chinese stock markets spanning from 2007 to 2022, the study constructs measurement indices for enterprise digital strategies through rigorous text analysis. A multitude of analytical techniques, including panel fixed effects regression, panel mediation effects regression, panel moderation effects regression, and two-stage instrumental variable regression, are employed to investigate these impacts. The findings reveal that a digital strategy exerts a significant and positive influence on firm innovation investment. Furthermore, the mechanism through which this impact occurs is elucidated: digital strategy fosters company innovation investment by augmenting investments in R&D human capital and digital infrastructure. Heterogeneity analysis underscores that the implementation of a digital strategy has a more pronounced effect on company innovation investment under conditions of high financial constraints. Conversely, when institutional investors hold a larger proportion of shares, the impact of digital strategy implementation on company innovation investment is less pronounced. The robustness of these findings is confirmed through additional tests, such as two-stage instrumental variable regression, a panel random effects model, and substitution of the dependent variable. These results collectively offer a scientific rationale for companies to adopt digital strategies and enhance their innovation investment endeavors

Research on the impact of ESG scores on corporate substantive and strategic green innovation

This paper studies the impact of ESG scores on corporate substantive and strategic green innovation of Chinese listed companies between 2007 and 2022. Results show that ESG scores have a significant positive impact on the company's green innovation, substantive and strategic green innovation. In addition, ESG scores primarily influence firm's green innovation through three channels: R&D expenditure, R&D human capital, and information transparency. Furthermore, the positive influence of ESG scores on a company's green innovation is more significant when the company has a higher shareholding ratio of the largest shareholder and institutional investors, as well as when it is a state-owned enterprise. Further researches show that only E-scores significantly positively impact green innovation. Additionally, ESG scores have significant positive impact on green innovation with a lag of 1–3 years, but no significant impact from the fourth year onwards. The results offer scientific implications for listed companies to enhance their level of green innovation, both substantively and strategically

The effect stakeholders have on voluntary carbon disclosure within Chinese business organizations

Based on the manually collected carbon information disclosure data for the Chinese listed companies from 2009 to 2015, this paper examines the influencing factors of carbon information disclosure from the stakeholders’ perspective. The results show that among external stakeholders, pressures from government and customers can improve the level of firm carbon information disclosure, but the effects of creditor, supplier and competitor on firm carbon information disclosure level are not significant. Among internal stakeholders, the major shareholders, institutional investors, and employees can improve the level of firm carbon information disclosure, but the effects of foreign investors (QFII) on carbon information disclosure are not significant. Among third-party stakeholders, environmental protection organizations and audit institutions can improve the level of firm carbon information disclosure. We hope that findings of this paper will provide guidance to the Chinese firms to develop carbon disclosure policies and encourage researchers to conduct future research on this subject

External Pressure, Corporate Governance, and Voluntary Carbon Disclosure: Evidence from China

This paper uses manually collected data of carbon information disclosure for listed companies, from 2009 to 2015 in China, to measure corporate carbon information disclosure, and it explores the impact of external pressure and internal governance on carbon information disclosure through text analysis and a hierarchy analysis process. The results show that, firstly, the greater the external pressure is, the higher the level of carbon information disclosure will be; that is, when listed companies are state-owned enterprises or in heavy pollution industries, the level of carbon information disclosure is higher. Secondly, the higher the level of corporate governance is, the higher the level of carbon information disclosure will be; that is, when the board of directors is larger, the proportion of independent directors is higher, and the chairman and general manager positions are differentiated, the level of carbon information disclosure is higher. Furthermore, when listed companies are state-owned and in heavy pollution industries, the level of carbon information disclosure is higher; when the chairman and general manager are in the same position (lower governance level), the positive impact of government pressure on carbon disclosure is less significant, the positive impact of external pressure on carbon disclosure is less significant, and the positive interactive impact of government pressure and external pressure on carbon disclosure is less significant. The conclusions of this paper are still robust after Heckman two-stage regression, propensity score matching (PSM) analysis, sub-sample regression, and double clustering analysis

The Effects of Energy Consumption, Economic Growth and Financial Development on CO2 Emissions in China: A VECM Approach

As one of the largest energy consumers and the greatest emitter of CO2 in the world, China now confronts the dual challenge of reducing energy use while continuing to foster economic growth. To overcome this issue, there is a need of comprehensive economic, financial, and energy policy reforms to promote sustainable development. The objective of this paper is to examine the effects of economic growth, financial development and energy consumption on carbon dioxide emission (CO2) in China from 1982 to 2017. The study applies Johansen cointegration test and vector error correction model (VECM) to investigate the long-term equilibrium and short-term causality relationship among the four variables. The causality is also checked by using the innovative accounting approach (IAA). The empirical results show the long-term cointegration relationship between them. Evidence shows that a unidirectional Granger causality running from energy consumption to financial development. Financial development and energy consumption have a statistically significant positive impact on CO2 emissions. In the long run, economic growth can curb CO2 emissions. Hence, financial innovation should be encouraged in the country to meet the demand of sustainable development. Nevertheless, optimizing energy structure and increasing the efficiency of energy utilization can never be left out from the process of development. We add light to policy makers with the construction of carbon trading to effectively address greenhouse effects in China