DAI-Net:一种新的低光照目标检测网络,通过零样本昼夜域适应来增强暗光目标检测,其目的是将检测器从明亮场景推广到暗光场景,而不需要真正的低光数据,性能表现SOTA!代码即将开源! 点击关注@CVer官方知乎账号,可以第一时间看到最优质、最前沿的CV、AI、AIGC工作~ DAI-Net Boosting Object Detection with Zero-Shot Da...
泛化能力强:通过零样本学习,DAI-Net能够将日间场景的学习成果泛化到夜间场景,这在传统的域适应方法中是难以实现的。 性能提升显著:在多个数据集上的实验结果显示,DAI-Net在低光照物体检测任务上的性能超过了现有的最先进方法。 当然,DAI-Net也存在一些潜在的局限性。例如,由于依赖于Retinex理论进行图像分解,该方法可...
git clone https://github.com/ZPDu/DAI-Net.git cd DAI-Net conda create -y -n dainet python=3.7 conda activate dainet pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 -f https://download.pytorch.org/whl/torch_stable.html pip install -r requirements.txt ...
git clone https://github.com/ZPDu/DAI-Net.git cd DAI-Net conda create -y -n dainet python=3.7 conda activate dainet pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 -f https://download.pytorch.org/whl/torch_stable.html pip install -r requirements.txt ...
总的来说,我们提出了一种新颖的方法,称为BiSRNet,用于在快照压缩成像(SCI)系统中从压缩测量中有效和实用地恢复HSI。我们重新设计了一个紧凑、易部署的基础模型,并提出了基本单元BiSR-Conv,用于自适应地重新分配HSI表示,并使用可缩放的双曲正切函数更准确地近似反向传播中的Sign函数。我们还定制了四个二值化卷积模块...
Code: https://github.com/Dai-Wenxun/MotionLCMMotion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSMPaper: https://arxiv.org/abs/2403.07487 Code: https://github.com/steve-zeyu-zhang/MotionMambaMV...
239 Noise-Aware Unsupervised Deep Lidar-Stereo Fusion https://github.com/AvrilCheng/LidarStereoNet Wednesday Poster 2.1 211 Xuelian Cheng Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, Hongdong Li 39 322 Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning https://github.co...
作者:Dai Shi(一位独立研究员) 代码:github.com/DaiShiResear 论文:arxiv.org/abs/2311.1713 CVPR 2024 论文和开源项目合集请戳—>github.com/amusi/CVPR20 由于残差连接的深度退化效应,许多依赖堆叠层进行信息交换的高效 Vision Transformers 模型往往无法形成足够的信息混合,导致不自然的视觉感知。 为了解决这个问题...
When integrated into generative models like U-Net in the latent diffusion model, DCNv4 outperforms its baseline, underscoring its possibility to enhance generative models. In practical applications, replacing DCNv3 with DCNv4 in the InternImage model to create FlashInternImage results in up to 80%...
3522 NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences Chen Zhao (Huazhong University of Science and Technology); Zhiguo Cao (Huazhong Univ. of Sci.&Tech.); chi li (Huazhong University of Science and Technology); Xin Li (West Virginia University); Jiaqi Yang (Huazhong Univ....