object detection

2759 papers

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Also known as

UAV-OD DETR YOLO OD

Co-occurring keywords

semantic segmentation (3179) convolutional neural network (4216) instance segmentation (733) domain adaptation (4578) image classification (1943) autonomous driving (1142) transfer learning (5442) neural network (6616) weakly supervised learning (1323) knowledge distillation (3680)

Papers

FLSL: Feature-level Self-supervised Learning NIPS 2023

Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion NIPS 2023

Azimuth Super-Resolution for FMCW Radar in Autonomous Driving CVPR 2023

What Can Human Sketches Do for Object Detection? CVPR 2023

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking CVPR 2023

Universal Instance Perception As Object Discovery and Retrieval CVPR 2023

Cut and Learn for Unsupervised Object Detection and Instance Segmentation CVPR 2023

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection CVPR 2023

IS-GGT: Iterative Scene Graph Generation With Generative Transformers CVPR 2023

T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection CVPR 2023

MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation CVPR 2023

Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation CVPR 2023

Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding CVPR 2023

Learning To Zoom and Unzoom CVPR 2023

Contrastive Mean Teacher for Domain Adaptive Object Detectors CVPR 2023

LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs CVPR 2023

Integrally Pre-Trained Transformer Pyramid Networks CVPR 2023

UTM: A Unified Multiple Object Tracking Model With Identity-Aware Feature Enhancement CVPR 2023

Gaussian Label Distribution Learning for Spherical Image Object Detection CVPR 2023

MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection CVPR 2023

Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration CVPR 2023

Ensemble-Based Blackbox Attacks on Dense Prediction CVPR 2023

CLIP the Gap: A Single Domain Generalization Approach for Object Detection CVPR 2023

Learning To Name Classes for Vision and Language Models CVPR 2023

Progressive Transformation Learning for Leveraging Virtual Images in Training CVPR 2023