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 |