https://paperswithcode.com/task/object-detection About Edit Object detection is the task of detecting instances of objects of a certain class within an image. The state-of-the-art methods can be categorized into two main types: one-stage methods and two stage-methods. One-stage methods prior...
EfficientDet: Scalable and Efficient Object Detection— Tan et al https://paperswithcode.com/paper/efficientdet-scalable-and-efficient-object Fixing the train-test resolution discrepancy —Touvron et al https://paperswithcode.com/paper/fixing-the-train-test-resolution-discrepancy-2 ResNeSt: Split-Atten...
(多模态)MVX-Net: Multimodal VoxelNet for 3D Object Detection code: https://paperswithcode.com/paper/mvx-net-multimodal-voxelnet-for-3d-object 摘要:最近许多关于三维目标检测的工作都集中在设计可以消耗点云数据的神经网络架构上。虽然这些方法表现出令人鼓舞的性能,但它们通常基于单一模式,不...
we propose a novel paradigm of offboard 3D object detection, named DetZero. Concretely, an offline tracker coupled with a multi-frame detector is proposed to focus on the completeness of generated object tracks. An attention-mechanism refining module is proposed to strengthen contextual information in...
home-automationmqttaicamerartsptensorflownvrrealtimehome-assistanthomeautomationobject-detectiongoogle-coral UpdatedApr 9, 2025 TypeScript amusi/CVPR2025-Papers-with-Code Star19.6k Code Issues Pull requests CVPR 2025 论文和开源项目合集 pythonmachine-learningcomputer-visiondeep-learningpaperimage-processingtransfo...
This paper proposes a few-shot object detection network whose objective is to detect objects of unseen categories that have a few annotated examples.Their method includes an attention-RPN, multi-relation detector, and a contrastive training strategy. The method takes advantage of the similarity betwee...
Mask R-CNN无论是在方法创新上还是工程实现上,都非常具有影响力,首先是ICCV2017的best paper,其次FAIR团队的maskrcnn-benchmark项目也被很多人使用和改进,并作为其它工作的codebase model,现在,一方面由于maskrcnn-benchmark不再更新,以及detectron2和mm-detection的出现,maskrcnn-benchmark的被使用程度才逐渐下滑。
Code for CVPR 2022 Oral paper: 'Few-Shot Object Detection with Fully Cross-Transformer' - GuangxingHan/FCT
223 Paper Code Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks rbgirshick/py-faster-rcnn • • NeurIPS 2015 In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly...
1 Paper Code HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection garfield-cpp/hgsfusion • • 16 Dec 2024 Hence, in this paper, we present the radar-camera fusion network with Hybrid Generation and Synchronization (HGSFusion), designed to better...