Abstract: The combination of object detection, tracking, and counting has become a widely used method. The position and angle of cameras can vary according to the deployment scenarios, which affects ...
Visual comparison between ESCNet and other SOTA methods. Our model accurately segments objects with complex backgrounds and intricate boundaries. For ease of use, we create a eval.sh script and a use ...
Abstract: Object detection is a fundamental computer vision task that simultaneously locates and categorizes objects in images and videos. It is utilized in various fields, such as autonomous driving, ...
python -m torch.distributed.launch --nproc_per_node NUM_GPUS train.py --dist \ --log_name coco_hg_512_ddp \ --dataset coco \ --arch large_hourglass \ --lr 5e-4 \ --lr ...
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