4 accepted papers
Recently, zero-shot object customization generation methods have rapidly developed and shown tremendous potential for applications. For instance, in the e-commerce domain, consumers can observe the visual effect of furniture placed within their personal living spaces or clothes worn on their own bod…
Video anomaly detection is very challenging, as most anomalies are rare and inconclusive. Previous weakly supervised learning approaches utilize the classifier trained with video-level labels to locate anomalous clips from the video. However, the anomalous clips often contain both anomalies and nume…
Usually, it is difficult to determine the scale and aspect ratio of anchors for anchor-based object detection methods. Current state-of-the-art object detectors either determine anchor parameters according to objects' shape and scale in a dataset, or avoid this problem by utilizing anchor-free metho…
"Recent progress in video anomaly detection (VAD) has shown that feature discrimination is the key to effectively distinguishing anomalies from normal events. We observe that many anomalous events occur in limited local regions, and the severe background noise increases the difficulty of feature lea…