![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-coco-small_a3a13af0.png) | COCO test-dev | DetectoRS (ResNeXt-101-32x4d, multi-scale) | DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-coco-minival-small_23a07589.png) | COCO minival | EfficientDet-D7(single-scale) | EfficientDet: Scalable and Efficient Object Detection | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-pascal-voc-2007-small_bb567474.png) | PASCAL VOC 2007 | SNIPER | SNIPER: Efficient Multi-Scale Training | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-kitti-cars-easy-small_4e6770f5.png) | KITTI Cars Easy | Patches | Patch Refinement -- Localized 3D Object Detection | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-crowdhuman-full-body-small_f735fb43.png) | CrowdHuman (full body) | IterDet (Faster RCNN, ResNet50, 2 iterations) | IterDet: Iterative Scheme for ObjectDetection in Crowded Environments | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-kitti-cars-moderate-small_94ffbe55.png) | KITTI Cars Moderate | Patches | Patch Refinement -- Localized 3D Object Detection | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-kitti-cars-hard-small_3d0a43af.png) | KITTI Cars Hard | Patches | Patch Refinement -- Localized 3D Object Detection | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-widerperson-small_cbeaf10d.png) | WiderPerson | IterDet (Faster RCNN, ResNet50, 2 iterations) | IterDet: Iterative Scheme for ObjectDetection in Crowded Environments | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-pascal-voc-2012-small_53336c86.png) | PASCAL VOC 2012 | SSD512 (07+12+COCO) | SSD: Single Shot MultiBox Detector | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-imagenet-detection-small_de1c5c86.png) | ImageNet Detection | Inception V1 | Going Deeper with Convolutions | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-visual-genome-small_3ac02157.png) | Visual Genome | MSDN | Scene Graph Generation from Objects, Phrases and Region Captions | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-peopleart-small_b2c9bf0b.png) | PeopleArt | Fast R-CNN (VGG16) | Detecting People in Artwork with CNNs | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-caltech-lanes-cordova-small_b8803bfb.png) | Caltech Lanes Cordova | ca | Saliency Optimization from Robust Background Detection | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-sixray-small_c9384c65.png) | SIXray | Mask R-CNN with ResNet101 | Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-india-driving-dataset-small_80ad7c79.png) | India Driving Dataset | hybrid incremental net | On Generalizing Detection Models for Unconstrained Environments | | | See all |
![img](https://paperswithcode.com/media/sota-thumbs/object-detection-on-bdd100k-small_6e18d7bc.png) | BDD100k | hybrid incremental net | On Generalizing Detection Models for Unconstrained Environments | | | |