5 papers · 1 filter
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels
Shizhuo Deng, Bowen Han, Jiaqi Chen +3
Noisy labels threaten the robustness of few-shot learning (FSL) due to the inexact features in a new domain. CLIP, a large-scale vision-language model, performs well in FSL on imag…
DriveScape: Towards High-Resolution Controllable Multi-View Driving Video Generation
Wei Wu, Xi Guo, Weixuan Tang +4
Recent advancements in generative models have provided promising solutions for synthesizing realistic driving videos, which are crucial for training autonomous driving perception m…
Mask-adaptive Gated Convolution and Bi-directional Progressive Fusion Network for Depth Completion
Tingxuan Huang, Jiacheng Miao, Shizhuo Deng +2
Depth completion is a critical task for handling depth images with missing pixels, which can negatively impact further applications. Recent approaches have utilized Convolutional N…
Prior Knowledge Guided Network for Video Anomaly Detection
Zhewen Deng, Dongyue Chen, Shizhuo Deng
Video Anomaly Detection (VAD) involves detecting anomalous events in videos, presenting a significant and intricate task within intelligent video surveillance. Existing studies oft…
AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion
Dongyue Chen, Tingxuan Huang, Zhimin Song +2
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…