Object Detection on COCO test-dev Leaderboard Dataset View by for BOX MAPFast-RCNNFast-RCNNSSD512SSD512Faster R-CNN (box refinement, context, multi-scale testing)Faster R-CNN (box refinement, context, multi-scale testing)Faster R-CNN + FPNFaster R-CNN + FPNFaster R-CNN ...
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...
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...
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection 2019 (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...
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...
Code for CVPR 2022 Oral paper: 'Few-Shot Object Detection with Fully Cross-Transformer' - GuangxingHan/FCT
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。
【Paper Reading·3Det 】On the Importance of Pretrained Knowledge Distillation for 3D Object Detection URL https://openreview.net/pdf?id=T1Qx6EC08o TL;DR 利用知识蒸馏来增强camera-based方法的特征学习。具体做法如下: 预训练一个高性能专家模型;...