451 research outputs found
Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames
This paper makes the first attempt to tackle the challenging task of
recovering arbitrary frame rate latent global shutter (GS) frames from two
consecutive rolling shutter (RS) frames, guided by the novel event camera data.
Although events possess high temporal resolution, beneficial for video frame
interpolation (VFI), a hurdle in tackling this task is the lack of paired GS
frames. Another challenge is that RS frames are susceptible to distortion when
capturing moving objects. To this end, we propose a novel self-supervised
framework that leverages events to guide RS frame correction and VFI in a
unified framework. Our key idea is to estimate the displacement field (DF)
non-linear dense 3D spatiotemporal information of all pixels during the
exposure time, allowing for the reciprocal reconstruction between RS and GS
frames as well as arbitrary frame rate VFI. Specifically, the displacement
field estimation (DFE) module is proposed to estimate the spatiotemporal motion
from events to correct the RS distortion and interpolate the GS frames in one
step. We then combine the input RS frames and DF to learn a mapping for
RS-to-GS frame interpolation. However, as the mapping is highly
under-constrained, we couple it with an inverse mapping (i.e., GS-to-RS) and RS
frame warping (i.e., RS-to-RS) for self-supervision. As there is a lack of
labeled datasets for evaluation, we generate two synthetic datasets and collect
a real-world dataset to train and test our method. Experimental results show
that our method yields comparable or better performance with prior supervised
methods.Comment: This paper has been submitted for review in March 202
The Research and Development on CTJ10/96-6, the Strong Exhaust Driven by Air Pressure Sanitary Device of the Mine Rescue System
According to the technical specification requirements of the mine rescue system, CTJ10/96-6, we design a strong exhaust sanitary device driven by air pressure based on pneumatic control, which adopts a key control by mechanical button. It implements many functions, such as flushing and sealing the smell, measuring and strong exhaust by using mechanical and pneumatic transmission. It also meets the demand of design requirements for the safety and explosion-proof of the mine rescue system.
DMAT: A Dynamic Mask-Aware Transformer for Human De-occlusion
Human de-occlusion, which aims to infer the appearance of invisible human
parts from an occluded image, has great value in many human-related tasks, such
as person re-id, and intention inference. To address this task, this paper
proposes a dynamic mask-aware transformer (DMAT), which dynamically augments
information from human regions and weakens that from occlusion. First, to
enhance token representation, we design an expanded convolution head with
enlarged kernels, which captures more local valid context and mitigates the
influence of surrounding occlusion. To concentrate on the visible human parts,
we propose a novel dynamic multi-head human-mask guided attention mechanism
through integrating multiple masks, which can prevent the de-occluded regions
from assimilating to the background. Besides, a region upsampling strategy is
utilized to alleviate the impact of occlusion on interpolated images. During
model learning, an amodal loss is developed to further emphasize the recovery
effect of human regions, which also refines the model's convergence. Extensive
experiments on the AHP dataset demonstrate its superior performance compared to
recent state-of-the-art methods
What kind of privatization?
The Fifteenth Party Congress of the Chinese Communist Party (CCP) attracted worldwide attention by announcing its adoption of "controlling big while releasing the small strategy in reforming its 354,000 state-owned enterprises (SOEs), 240,000 of which are small-sized SOEs. A shareholding system (gufen zhi) will be a major instrument for SOE reform. This paper first discusses the necessity and urgency of SOE reform, and then focuses on the forms of shareholding systems. Finally, it discusses the problems posed by the expansion of government organs and agencies in recent years and the challenges in presents to China's transition
What kind of privatization?
The Fifteenth Party Congress of the Chinese Communist Party (CCP) attracted worldwide attention by announcing its adoption of "controlling big while releasing the small strategy in reforming its 354,000 state-owned enterprises (SOEs), 240,000 of which are small-sized SOEs. A shareholding system (gufen zhi) will be a major instrument for SOE reform. This paper first discusses the necessity and urgency of SOE reform, and then focuses on the forms of shareholding systems. Finally, it discusses the problems posed by the expansion of government organs and agencies in recent years and the challenges in presents to China's transition
Enhancement of recombinant myricetin on the radiosensitivity of lung cancer A549 and H1299 cells
OBJECTIVE: Myricetin, a common dietary flavonoid is widely distributed in fruits and vegetables, and is used as a health food supplement based on its immune function, anti-oxidation, anti-tumor, and anti-inflammatory properties. The aim of this study was to investigate the effects of myricetin on combination with radiotherapy enhance radiosensitivity of lung cancer A549 and H1299 cells. METHODS: A549 cells and H1299 cells were exposed to X-ray with or without myricetin treatment. Colony formation assays, CCK-8 assay, flow cytometry and Caspase-3 level detection were used to evaluate the radiosensitization activity of myricetin on cell proliferation and apoptosis in vitro. Nude mouse tumor xenograft model was built to assessed radiosensitization effect of myricetin in vivo. RESULTS: Compared with the exposed group without myricetin treatment, the groups treated with myricetin showed significantly suppressed cell surviving fraction and proliferation, increased the cell apoptosis and increased Caspase-3 protein expression after X-ray exposure in vitro. And in vivo assay, growth speed of tumor xenografts was significantly decreased in irradiated mice treated with myricetin. CONCLUSIONS: The study demonstrated both in vitro and in vivo evidence that combination of myricetin with radiotherapy can enhance tumor radiosensitivity of pulmonary carcinoma A549 and H1299 cells, and myricetin could be a potential radiosensitizer for lung cancer therapy. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/579151800121063
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
To imitate the ability of keeping learning of human, continual learning which
can learn from a never-ending data stream has attracted more interests
recently. In all settings, the online class incremental learning (CIL), where
incoming samples from data stream can be used only once, is more challenging
and can be encountered more frequently in real world. Actually, the CIL faces a
stability-plasticity dilemma, where the stability means the ability to preserve
old knowledge while the plasticity denotes the ability to incorporate new
knowledge. Although replay-based methods have shown exceptional promise, most
of them concentrate on the strategy for updating and retrieving memory to keep
stability at the expense of plasticity. To strike a preferable trade-off
between stability and plasticity, we propose a Adaptive Focus Shifting
algorithm (AFS), which dynamically adjusts focus to ambiguous samples and
non-target logits in model learning. Through a deep analysis of the
task-recency bias caused by class imbalance, we propose a revised focal loss to
mainly keep stability. By utilizing a new weight function, the revised focal
loss can pay more attention to current ambiguous samples, which can provide
more information of the classification boundary. To promote plasticity, we
introduce a virtual knowledge distillation. By designing a virtual teacher, it
assigns more attention to non-target classes, which can surmount overconfidence
and encourage model to focus on inter-class information. Extensive experiments
on three popular datasets for CIL have shown the effectiveness of AFS. The code
will be available at \url{https://github.com/czjghost/AFS}.Comment: 12 pages,15 figure
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