2D Object Detection
84 papers with code • 14 benchmarks • 57 datasets
Benchmarks
These leaderboards are used to track progress in 2D Object Detection
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Libraries
Use these libraries to find 2D Object Detection models and implementationsDatasets
BDD100K
VisDrone
Hypersim
COCO-O
ExDark
Clear Weather
KITTI MOTS
FlickrLogos-32
RADIATE
PACO
Subtasks
Most implemented papers
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
slongliu/dab-detr
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ICLR 2022
We present in this paper a novel query formulation using dynamic anchor boxes for DETR (DEtection TRansformer) and offer a deeper understanding of the role of queries in DETR.
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
PeizeSun/SparseR-CNN
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CVPR 2021
In our method, however, a fixed sparse set of learned object proposals, total length of $N$, are provided to object recognition head to perform classification and location.
TOOD: Task-aligned One-stage Object Detection
fcjian/TOOD
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ICCV 2021
One-stage object detection is commonly implemented by optimizing two sub-tasks: object classification and localization, using heads with two parallel branches, which might lead to a certain level of spatial misalignment in predictions between the two tasks.
DETRs Beat YOLOs on Real-time Object Detection
lyuwenyu/RT-DETR
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Our RT-DETR-R50 / R101 achieves 53. 1% / 54. 3% AP on COCO and 108 / 74 FPS on T4 GPU, outperforming previously advanced YOLOs in both speed and accuracy.
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach
Through the inherent handling of multiple objects and instances and the fused single shot 2D object detection as well as 6D pose estimation, our approach runs even with multiple objects (eight) end-to-end at over 26 FPS, making it highly attractive to many real world scenarios.
Small Object Detection via Pixel Level Balancing With Applications to Blood Cell Detection
hubindijun/faster-rcnn-plb-PyTorch
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Frontiers in Physiology 2022
This method can perform well with blood cell detection in our experiments.
RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts
nikhel1/gal-detr
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Creating radio galaxy catalogues from next-generation deep surveys requires automated identification of associated components of extended sources and their corresponding infrared hosts.
Grid R-CNN
open-mmlab/mmdetection
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CVPR 2019
This paper proposes a novel object detection framework named Grid R-CNN, which adopts a grid guided localization mechanism for accurate object detection.
Three-dimensional Backbone Network for 3D Object Detection in Traffic Scenes
Benzlxs/tDBN
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The task of detecting 3D objects in traffic scenes has a pivotal role in many real-world applications.
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud
We propose an attentive module to fit the sparse feature maps to dense mostly on the object regions through the deformable convolution tower and the supervised mask-guided attention.
