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Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes (CVPR2024)

Overview

Dataset

Model

Usage

The training and testing experiments are conducted using PyTorch with a single RTX 3090 GPU of 24 GB Memory.

Dependencies

Datasets

Our ACOD-12K can be found in Huggingface or Baidu Drive(0vy7)

Training

   python Train.py --epoch 100 --lr 1e-4 --batchsize 4 --trainsize 704 --train_path Your_dataset_path --save_path Your_save_path

Testing

   python Test.py --testsize 704 --pth_path Your_checkpoint_path --test_path Your_dataset_path

Evaluation

Results

Concealed Crop Detection(CCD)

Concealed Object Detection(COD)