Jan 25, 2022 · This work presents a method to predict such misdetections at run-time by using a small network, referred to as ConsensusNet, to learn the ...

This work presents a method to predict such misdetections at run-time by using a small network, referred to as ConsensusNet, to learn the correlation patterns ...

The proposed ConsensusNet is the first network reported for predicting misdetections in object detection by using a small network to learn the correlation ...

Predicting YOLO Misdetection by Learning Grid Cell Consensus. BR Paudel, D Senarathna, H Wang, S Tragoudas, Y Hu, S Jiang. 2021 20th IEEE International ...

Dec 11, 2023 · YOLOv7 predicted bounding boxes for each grid cell. The YOLO detection procedure splits the input image into 32 × 32 grid cells, each of ...

An Enhanced YOLO Failure Detection Method. ICMLA 2023: 958-965. [c3]. view ... Predicting YOLO Misdetection by Learning Grid Cell Consensus. ICMLA 2021 ...

Predicting YOLO Misdetection by Learning Grid Cell Consensusmore. by Bijay Raj Paudel. Publisher: IEEE. Publication Name: 2021 20th IEEE International ...

Jiang, Predicting YOLO Misdetection by Learning Grid Cell Consensus, Proceedings of the 20th IEEE International Conference on Machine Learning and ...

proposed WilDect-YOLO, an automated high-performance detection model based on YOLOv4 for the real-time detection of endangered wildlife in field environments, ...

YOLO splits the input image into grid cells and predicts bounding boxes and class probabilities from the grid cells directly. The YOLO architecture has gone ...