Model Zoo Statistics

• Number of papers: 65
  • ALGORITHM: 55
  • BACKBONE: 3
  • DATASET: 4
  • OTHERS: 3
• Number of checkpoints: 443
  • [OTHERS] Albu Example (1 ckpts)
  • [ALGORITHM] Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection (2 ckpts)
  • [ALGORITHM] AutoAssign: Differentiable Label Assignment for Dense Object Detection (1 ckpts)
  • [ALGORITHM] CARAFE: Content-Aware ReAssembly of FEatures (2 ckpts)
  • [ALGORITHM] Cascade R-CNN: High Quality Object Detection and Instance Segmentation (27 ckpts)
  • [ALGORITHM] Cascade RPN (3 ckpts)
  • [ALGORITHM] CenterNet (2 ckpts)
  • [ALGORITHM] CentripetalNet (1 ckpts)
  • [DATASET] Cityscapes Dataset (2 ckpts)
  • [ALGORITHM] CornerNet (3 ckpts)
  • [ALGORITHM] Deformable Convolutional Networks (15 ckpts)
  • [DATASET] DeepFashion (1 ckpts)
  • [ALGORITHM] Deformable DETR (3 ckpts)
  • [ALGORITHM] DetectoRS (7 ckpts)
  • [ALGORITHM] DETR (1 ckpts)
  • [ALGORITHM] Rethinking Classification and Localization for Object Detection (1 ckpts)
  • [ALGORITHM] Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training (1 ckpts)
  • [ALGORITHM] An Empirical Study of Spatial Attention Mechanisms in Deep Networks (4 ckpts)
  • [ALGORITHM] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (26 ckpts)
  • [ALGORITHM] FCOS: Fully Convolutional One-Stage Object Detection (7 ckpts)
  • [ALGORITHM] FoveaBox: Beyond Anchor-based Object Detector (8 ckpts)
  • [OTHERS] Mixed Precision Training (5 ckpts)
  • [ALGORITHM] Feature Pyramid Grids (6 ckpts)
  • [ALGORITHM] FreeAnchor: Learning to Match Anchors for Visual Object Detection (3 ckpts)
  • [ALGORITHM] Feature Selective Anchor-Free Module for Single-Shot Object Detection (4 ckpts)
  • [ALGORITHM] GCNet for Object Detection (19 ckpts)
  • [ALGORITHM] Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection (6 ckpts)
  • [ALGORITHM] Gradient Harmonized Single-stage Detector (4 ckpts)
  • [ALGORITHM] Weight Standardization (12 ckpts)
  • [ALGORITHM] Group Normalization (6 ckpts)
  • [ALGORITHM] Grid R-CNN (4 ckpts)
  • [ALGORITHM] GRoIE (9 ckpts)
  • [ALGORITHM] Region Proposal by Guided Anchoring (12 ckpts)
  • [ALGORITHM] High-resolution networks (HRNets) for object detection (28 ckpts)
  • [ALGORITHM] Hybrid Task Cascade for Instance Segmentation (6 ckpts)
  • [ALGORITHM] InstaBoost for MMDetection (4 ckpts)
  • [OTHERS] Legacy Configs in MMDetection V1.x (4 ckpts)
  • [ALGORITHM] Libra R-CNN: Towards Balanced Learning for Object Detection (4 ckpts)
  • [DATASET] LVIS dataset (8 ckpts)
  • [ALGORITHM] Mask R-CNN (18 ckpts)
  • [ALGORITHM] Mask Scoring R-CNN (7 ckpts)
  • [ALGORITHM] NAS-FCOS: Fast Neural Architecture Search for Object Detection (2 ckpts)
  • [ALGORITHM] NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection (2 ckpts)
  • [ALGORITHM] Probabilistic Anchor Assignment with IoU Prediction for Object Detection (7 ckpts)
  • [ALGORITHM] Path Aggregation Network for Instance Segmentation (1 ckpts)
  • [DATASET] PASCAL VOC Dataset (2 ckpts)
  • [ALGORITHM] Prime Sample Attention in Object Detection (7 ckpts)
  • [ALGORITHM] PointRend (2 ckpts)
  • [BACKBONE] Designing Network Design Spaces (31 ckpts)
  • [ALGORITHM] RepPoints: Point Set Representation for Object Detection (8 ckpts)
  • [ALGORITHM] Res2Net for object detection and instance segmentation (5 ckpts)
  • [BACKBONE] ResNeSt: Split-Attention Networks (8 ckpts)
  • [ALGORITHM] Focal Loss for Dense Object Detection (10 ckpts)
  • [ALGORITHM] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (10 ckpts)
  • [ALGORITHM] Side-Aware Boundary Localization for More Precise Object Detection (10 ckpts)
  • [ALGORITHM] SCNet (4 ckpts)
  • [ALGORITHM] Rethinking ImageNet Pre-training (2 ckpts)
  • [ALGORITHM] Seesaw Loss for Long-Tailed Instance Segmentation (CVPR 2021) (12 ckpts)
  • [BACKBONE] Backbones Trained by Self-Supervise Algorithms (4 ckpts)
  • [ALGORITHM] Sparse R-CNN: End-to-End Object Detection with Learnable Proposals (5 ckpts)
  • [ALGORITHM] SSD: Single Shot MultiBox Detector (3 ckpts)
  • [ALGORITHM] Scale-Aware Trident Networks for Object Detection (3 ckpts)
  • [ALGORITHM] VarifocalNet: An IoU-aware Dense Object Detector (8 ckpts)
  • [ALGORITHM] You Only Look At CoefficienTs (3 ckpts)
  • [ALGORITHM] YOLOv3 (6 ckpts)
  • [ALGORITHM] You Only Look One-level Feature (1 ckpts)