Precise detection of tiny objects in oriented object detection remains a significant challenge due to their limited visual information and frequent occurrence within scenes. Concretely, extremely small in-stances occupy a large proportion in oriented object detection, and the local receptive field of CNN...
Official implementation for the CVPR23 paper: Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection. arxiv Introduction DCFL is a learning framework for detecting oriented tiny objects. Installation and Get Started Required environments: Linux Python 3.7+ PyTorch 1.10.0+ CUDA 9.2+ GCC ...
代码运行次数:0 @inproceedings{li2022oriented,title={Oriented reppointsforaerial object detection},author={Li,Wentong and Chen,Yijie and Hu,Kaixuan and Zhu,Jianke},booktitle={ProceedingsoftheIEEE/CVFConference on Computer Vision and Pattern Recognition},pages={1829--1838},year={2022}} 2. 问题背景...
bash tools/dist_train.sh projects/OrientedFormer/configs/orientedformer_le90_swin-tiny_q300_layer2_head64_point32_1x_dotav1.0.py 23). DOTA-v1.5bash tools/dist_train.sh projects/OrientedFormer/configs/orientedformer_le90_r50_q300_layer2_head64_point32_1x_dotav1.5.py 2...
Some work has been done to tackle the efficiency of models, such as Squeeze-Net [15], Mobile-Net [16], and Shuffle-Net [17], and for object detection, there is Tiny YOLO and Tiny SSD [18]. All these architectures are optimized for camera images, and they cannot easily be adapted to...
0 (BEVerse-Tiny) [zhang2022beverse] is an MTL framework. ID Det. Track Map Motion Occ. Plan #Params FLOPs FPS 0[zhang2022beverse] ✓ ✓ ✓ 102.5M 1921G - 1 ✓ 65.9M 1324G 4.2 2 ✓ ✓ 68.2M 1326G 2.7 3 ✓ ✓ ✓ 95.8M 1520G 2.2 4 ✓ ✓ ✓ ✓ 108.6...
Capsule Networks (CapsNets) have demonstrated to be a promising alternative to Convolutional Neural Networks (CNNs). However, they often fall short of state-of-the-art accuracies on large-scale high-dimensional datasets. We propose a Detail-Oriented Caps
As represented inFig. 17, steps involved in HOG process flow includes resizing of image to a pre-specified image size, which make it suitable to extract tiny patches of image and led to less complex computation. Next step is to calculate gradient for each pixel by determining center pixel fi...
yolov5tiny 1024 × 73.26 - - - 15.2 - 2.02 5.0 Table Notes (click to expand / **点我看更多**) All checkpoints are trained to 300 epochs with COCO pre-trained checkpoints, default settings and hyperparameters. mAPtest dota values are for single-model single-scale on DOTA(1024,1024,...
OrientedReppoints SwinT-tiny - √ - 59.93 baidu(aabb) ImageNet-1K and ImageNet-22K Pretrained Models namepretrainresolutionacc@1acc@5#paramsFLOPsFPS22K model1K modelNeed to turn read version Swin-T ImageNet-1K 224x224 81.2 95.5 28M 4.5G 755 - github/baidu(swin)/config ✔ Swin-S Image...