Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Chen, Dongyue"'
Time series forecasting, which aims to predict future values based on historical data, has garnered significant attention due to its broad range of applications. However, real-world time series often exhibit complex non-uniform distribution with vary
Externí odkaz:
http://arxiv.org/abs/2410.09836
Recent advancements in generative models have provided promising solutions for synthesizing realistic driving videos, which are crucial for training autonomous driving perception models. However, existing approaches often struggle with multi-view vid
Externí odkaz:
http://arxiv.org/abs/2409.05463
X-ray prohibited item detection is an essential component of security check and categories of prohibited item are continuously increasing in accordance with the latest laws. Previous works all focus on close-set scenarios, which can only recognize kn
Externí odkaz:
http://arxiv.org/abs/2406.10961
Fine-grained domain generalization (FGDG) is a more challenging task than traditional DG tasks due to its small inter-class variations and relatively large intra-class disparities. When domain distribution changes, the vulnerability of subtle feature
Externí odkaz:
http://arxiv.org/abs/2406.09166
Prohibited Item detection in X-ray images is one of the most effective security inspection methods.However, differing from natural light images, the unique overlapping phenomena in X-ray images lead to the coupling of foreground and background featur
Externí odkaz:
http://arxiv.org/abs/2406.03176
Deep learning has significantly advanced time series forecasting through its powerful capacity to capture sequence relationships. However, training these models with the Mean Square Error (MSE) loss often results in over-smooth predictions, making it
Externí odkaz:
http://arxiv.org/abs/2405.18975
Prohibited item detection in X-ray images is one of the most essential and highly effective methods widely employed in various security inspection scenarios. Considering the significant overlapping phenomenon in X-ray prohibited item images, we propo
Externí odkaz:
http://arxiv.org/abs/2403.04309
Video Anomaly Detection (VAD) involves detecting anomalous events in videos, presenting a significant and intricate task within intelligent video surveillance. Existing studies often concentrate solely on features acquired from limited normal data, d
Externí odkaz:
http://arxiv.org/abs/2309.01682
Recently, stereo vision based on lightweight RGBD cameras has been widely used in various fields. However, limited by the imaging principles, the commonly used RGB-D cameras based on TOF, structured light, or binocular vision acquire some invalid dat
Externí odkaz:
http://arxiv.org/abs/2309.01624
Publikováno v:
In Neurocomputing 14 October 2024 602
