ETFOD is now available by Baidu Netdisk with link:https://pan.baidu.com/s/1kaqawV1UCJNViGNTSvAX3A Password:dcdr
Detection demos are presented by downloading 10fps_cat4.mp4 [https://github.com/YiShi701/Fixated-object-detection/blob/main/10fps_cat4.mp4] and 10fps_cat5.mp4 [https://github.com/YiShi701/Fixated-object-detection/blob/main/10fps_cat5.mp4].
The code of FOD-Net and LFOD-Net are availabel by https://github.com/YiShi701/Fixated-object-detection/blob/main/FOD_NET.zip
Download and unzip the project https://github.com/YiShi701/Fixated-object-detection/blob/main/FOD_NET.zip and install [requirements.txt] in a Python>=3.7.0 environment, including PyTorch>=1.7. More details are refer to https://github.com/ultralytics/yolov5
ETFOD dataset and code can be used for scientific research.