| PETR: Position Embedding Transformation for Multi-view 3D Object Detection. | 0 | 0.34 | 2022 |
| Progressive End-to-End Object Detection in Crowded Scenes | 0 | 0.34 | 2022 |
| Anchor DETR: Query Design for Transformer-Based Detector. | 0 | 0.34 | 2022 |
| LGD: Label-Guided Self-Distillation for Object Detection. | 0 | 0.34 | 2022 |
| When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search | 0 | 0.34 | 2022 |
| Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation. | 0 | 0.34 | 2022 |
| Relieving Long-tailed Instance Segmentation via Pairwise Class Balance | 0 | 0.34 | 2022 |
| Weight-Dependent Gates for Network Pruning | 0 | 0.34 | 2022 |
| Focal Sparse Convolutional Networks for 3D Object Detection. | 0 | 0.34 | 2022 |
| RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality | 0 | 0.34 | 2022 |
| Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report | 1 | 0.35 | 2021 |
| Co-Mining: Self-Supervised Learning For Sparsely Annotated Object Detection | 0 | 0.34 | 2021 |
| RepVGG: Making VGG-style ConvNets Great Again | 0 | 0.34 | 2021 |
| Implicit Feature Refinement for Instance Segmentation | 0 | 0.34 | 2021 |
| Diverse Branch Block: Building a Convolution as an Inception-like Unit | 0 | 0.34 | 2021 |
| Image Synthesis via Semantic Composition. | 0 | 0.34 | 2021 |
| SOLQ: Segmenting Objects by Learning Queries. | 0 | 0.34 | 2021 |
| Neural Architecture Search with Random Labels | 0 | 0.34 | 2021 |
| Points as Queries: Weakly Semi-supervised Object Detection by Points | 0 | 0.34 | 2021 |
| Instance-Conditional Knowledge Distillation for Object Detection. | 0 | 0.34 | 2021 |
| You Only Look One-level Feature | 2 | 0.36 | 2021 |
| Dynamic Region-Aware Convolution | 0 | 0.34 | 2021 |
| Attentive Normalization For Conditional Image Generation | 0 | 0.34 | 2020 |
| Detection in Crowded Scenes: One Proposal, Multiple Predictions | 2 | 0.36 | 2020 |
| Learning Human-Object Interaction Detection Using Interaction Points | 8 | 0.59 | 2020 |
| Weight-Dependent Gates for Differentiable Neural Network Pruning. | 0 | 0.34 | 2020 |
| Rethinking Learnable Tree Filter for Generic Feature Transform | 0 | 0.34 | 2020 |
| Learning Dynamic Routing for Semantic Segmentation | 0 | 0.34 | 2020 |
| TOWARDS STABILIZING BATCH STATISTICS IN BACKWARD PROPAGATION OF BATCH NORMALIZATION | 0 | 0.34 | 2020 |
| DetNAS: Backbone Search for Object Detection | 4 | 0.39 | 2019 |
| DetNAS: Neural Architecture Search on Object Detection. | 14 | 0.49 | 2019 |
| Bounding Box Regression With Uncertainty For Accurate Object Detection | 20 | 0.58 | 2019 |
| Meta-Sr: A Magnification-Arbitrary Network For Super-Resolution | 6 | 0.41 | 2019 |
| DetNet: A Backbone network for Object Detection. | 13 | 0.55 | 2018 |
| ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices. | 178 | 3.83 | 2018 |
| Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection. | 2 | 0.36 | 2018 |
| CrowdHuman: A Benchmark for Detecting Human in a Crowd. | 7 | 0.46 | 2018 |
| MetaAnchor: Learning to Detect Objects with Customized Anchors. | 5 | 0.41 | 2018 |
| Light-Head R-CNN: In Defense of Two-Stage Object Detector. | 14 | 0.54 | 2017 |
| Identity Mappings In Deep Residual Networks | 759 | 23.48 | 2016 |
| Object Detection Networks on Convolutional Feature Maps. | 69 | 15.00 | 2015 |
| Accelerating Very Deep Convolutional Networks for Classification and Detection. | 96 | 3.21 | 2015 |
| Deep Residual Learning for Image Recognition | 10159 | 294.56 | 2015 |
| Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification. | 1685 | 83.25 | 2015 |
