Background semantics matter: Cross-task feature exchange network for clustered infrared small target detection with sky-annotated dataset
Infrared small target detection poses unique challenges due to the scarcity of intrinsic target
features and the abundance of similar background distractors. We argue that background …
features and the abundance of similar background distractors. We argue that background …
Inter-clip Feature Similarity based Weakly Supervised Video Anomaly Detection via Multi-scale Temporal MLP
Y Zhong, R Zhu, G Yan, P Gan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The major paradigm of weakly supervised video anomaly detection (WSVAD) is treating it as
a multiple instance learning (MIL) problem, with only video-level labels available for training …
a multiple instance learning (MIL) problem, with only video-level labels available for training …
Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey
W Zhou, L Zhao, R Zhang, Y Cui, H Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
Traffic Surveillance Systems (TSS) have become increasingly crucial in modern intelligent
transportation systems, with vision-based technologies playing a central role for scene …
transportation systems, with vision-based technologies playing a central role for scene …
Context-Aware Detection of Mixed Critical Events using Video Classification
Detecting mixed-critical events through computer vision is challenging due to the need for
contextual understanding to assess event criticality accurately. Mixed critical events, such as …
contextual understanding to assess event criticality accurately. Mixed critical events, such as …
Improving Human-Object Interaction Detection via Streamlining Matching Procedure and Enhancing Interaction Query
The domain of Human-Object Interaction (HOI) detection has captured considerable
attention within the computer vision research community, given its focus on grasping the …
attention within the computer vision research community, given its focus on grasping the …
MMVAD: A Vision-Language Model for Cross-Domain Video Anomaly Detection with Contrastive Learning and Scale-Adaptive Frame Segmentation
Abstract Video Anomaly Detection (VAD) is crucial for public safety and detecting
abnormalities in riskprone zones. Anomaly Detection from weakly-labeled datasets has …
abnormalities in riskprone zones. Anomaly Detection from weakly-labeled datasets has …