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Found 5 papers, 2 papers with code
IPAD: Industrial Process Anomaly Detection Dataset
Video anomaly detection (VAD) is a challenging task aiming to recognize anomalies in video frames, and existing large-scale VAD researches primarily focus on road traffic and human activity scenes.
Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting
Text-to-image (T2I) customization aims to create images that embody specific visual concepts delineated in textual descriptions.
Small Object Detection via Pixel Level Balancing With Applications to Blood Cell Detection
This method can perform well with blood cell detection in our experiments.
Robust and Accurate Object Detection via Self-Knowledge Distillation
In this paper, we propose Unified Decoupled Feature Alignment (UDFA), a novel fine-tuning paradigm which achieves better performance than existing methods, by fully exploring the combination between self-knowledge distillation and adversarial training for object detection.
Privacy-Preserving Federated Learning on Partitioned Attributes
Real-world data is usually segmented by attributes and distributed across different parties.
