object detection

A Systematic Evaluation of Object Detection Networks for Scientific Plots AAAI 2021 Automatic Object Recoloring Using Adversarial Learning WACV 2021 Automatic Quantification of Plant Disease From Field Image Data Using Deep Learning WACV 2021 Balanced sampling for an object detection problem - application to fetal anatomies detection MIDL 2021 BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation CVPR 2021 Benchmarking Unsupervised Object Representations for Video Sequences JMLR 2021 Black-Box Explanation of Object Detectors via Saliency Maps CVPR 2021 Bootstrap Your Object Detector via Mixed Training NeurIPS 2021 Bottleneck Transformers for Visual Recognition CVPR 2021 Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection NeurIPS 2021 CamouFinder: Finding Camouflaged Instances in Images AAAI 2021 Camouflaged Object Segmentation With Distraction Mining CVPR 2021 Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection AAAI 2021 Channel-Wise Knowledge Distillation for Dense Prediction ICCV 2021 CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud AAAI 2021 Class-Agnostic Object Detection WACV 2021 Class-Aware Robust Adversarial Training for Object Detection CVPR 2021 CoCoNets: Continuous Contrastive 3D Scene Representations CVPR 2021 Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification NeurIPS 2021 Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection AAAI 2021 Compositional Transformers for Scene Generation NeurIPS 2021 CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021 Conditional DETR for Fast Training Convergence ICCV 2021 Container: Context Aggregation Networks NeurIPS 2021 Coordinate Attention for Efficient Mobile Network Design CVPR 2021