Model Zoo Statistics¶
Number of papers: 105
ABSTRACT: 5
ALGORITHM: 81
BACKBONE: 7
DATASET: 7
OTHERS: 4
PWC: 1
Number of checkpoints: 651
[OTHERS] Albu Example (1 ckpts)
[ALGORITHM] ATSS (2 ckpts)
[ALGORITHM] AutoAssign (1 ckpts)
[ALGORITHM] BoxInst (2 ckpts)
[ABSTRACT] ByteTrack: Multi-Object Tracking by Associating Every Detection Box (2 ckpts)
[ALGORITHM] CARAFE (2 ckpts)
[ALGORITHM] Cascade R-CNN (27 ckpts)
[ALGORITHM] Cascade RPN (3 ckpts)
[ALGORITHM] CenterNet (3 ckpts)
[ALGORITHM] CentripetalNet (1 ckpts)
[DATASET] Cityscapes (2 ckpts)
[ALGORITHM] CondInst (1 ckpts)
[ALGORITHM] Conditional DETR (1 ckpts)
[ALGORITHM] ConvNeXt (3 ckpts)
[ALGORITHM] CornerNet (3 ckpts)
[ALGORITHM] CrowdDet (2 ckpts)
[ALGORITHM] DAB-DETR (1 ckpts)
[ALGORITHM] DCN (12 ckpts)
[ALGORITHM] DCNv2 (5 ckpts)
[ALGORITHM] DDOD (1 ckpts)
[ALGORITHM] DDQ (3 ckpts)
[DATASET] DeepFashion (1 ckpts)
[ALGORITHM] Deformable DETR (3 ckpts)
[ALGORITHM] DetectoRS (7 ckpts)
[ALGORITHM] DETR (1 ckpts)
[ALGORITHM] DINO (4 ckpts)
[ALGORITHM] Double Heads (1 ckpts)
[DATASET] DSDL: Standard Description Language for DataSet (5 ckpts)
[ALGORITHM] DyHead (3 ckpts)
[ALGORITHM] Dynamic R-CNN (1 ckpts)
[BACKBONE] EfficientNet (1 ckpts)
[ALGORITHM] Empirical Attention (4 ckpts)
[ALGORITHM] Faster R-CNN (30 ckpts)
[ALGORITHM] FCOS (7 ckpts)
[ALGORITHM] FoveaBox (8 ckpts)
[ALGORITHM] FPG (8 ckpts)
[ALGORITHM] FreeAnchor (3 ckpts)
[ALGORITHM] FSAF (4 ckpts)
[ALGORITHM] GCNet (19 ckpts)
[ALGORITHM] GFL (6 ckpts)
[ALGORITHM] GHM (4 ckpts)
[ALGORITHM] GLIP: Grounded Language-Image Pre-training (10 ckpts)
[ALGORITHM] GN + WS (12 ckpts)
[ALGORITHM] GN (6 ckpts)
[ALGORITHM] Grid R-CNN (4 ckpts)
[ALGORITHM] GRoIE (9 ckpts)
[ALGORITHM] Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection (5 ckpts)
[ALGORITHM] Guided Anchoring (12 ckpts)
[BACKBONE] HRNet (28 ckpts)
[ALGORITHM] HTC (6 ckpts)
[ALGORITHM] Instaboost (4 ckpts)
[ALGORITHM] LAD (4 ckpts)
[ALGORITHM] LD (4 ckpts)
[OTHERS] Legacy Configs in MMDetection V1.x (4 ckpts)
[ALGORITHM] Libra R-CNN (4 ckpts)
[DATASET] LVIS (8 ckpts)
[ALGORITHM] Mask2Former (11 ckpts)
[ABSTRACT] Mask2Former for Video Instance Segmentation (3 ckpts)
[ALGORITHM] Mask R-CNN (21 ckpts)
[ALGORITHM] MaskFormer (2 ckpts)
[ABSTRACT] Video Instance Segmentation (6 ckpts)
[ALGORITHM] MM Grounding DINO (9 ckpts)
[ALGORITHM] MS R-CNN (7 ckpts)
[ALGORITHM] NAS-FCOS (2 ckpts)
[ALGORITHM] NAS-FPN (2 ckpts)
[DATASET] Objects365 Dataset (6 ckpts)
[ABSTRACT] Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking (1 ckpts)
[DATASET] Open Images Dataset (6 ckpts)
[ALGORITHM] PAA (7 ckpts)
[ALGORITHM] PAFPN (1 ckpts)
[ALGORITHM] Panoptic FPN (4 ckpts)
[DATASET] Pascal VOC (5 ckpts)
[ALGORITHM] PISA (7 ckpts)
[ALGORITHM] PointRend (2 ckpts)
[BACKBONE] PVT (9 ckpts)
[ABSTRACT] Quasi-Dense Similarity Learning for Multiple Object Tracking (1 ckpts)
[ALGORITHM] QueryInst (5 ckpts)
[BACKBONE] RegNet (31 ckpts)
[ALGORITHM] RepPoints (7 ckpts)
[BACKBONE] Res2Net (5 ckpts)
[BACKBONE] ResNeSt (8 ckpts)
[OTHERS] ResNet strikes back (4 ckpts)
[ALGORITHM] RetinaNet (17 ckpts)
[ALGORITHM] RPN (10 ckpts)
[PWC] RTMDet: An Empirical Study of Designing Real-Time Object Detectors (28 ckpts)
[ALGORITHM] SABL (10 ckpts)
[ALGORITHM] SCNet (4 ckpts)
[ALGORITHM] Scratch (2 ckpts)
[ALGORITHM] Seesaw Loss (12 ckpts)
[OTHERS] Backbones Trained by Self-Supervise Algorithms (4 ckpts)
[ALGORITHM] SimpleCopyPaste (4 ckpts)
[ALGORITHM] SoftTeacher (4 ckpts)
[ALGORITHM] SOLO (5 ckpts)
[ALGORITHM] SOLOv2 (8 ckpts)
[ALGORITHM] Sparse R-CNN (5 ckpts)
[ALGORITHM] SSD (3 ckpts)
[BACKBONE] Swin (4 ckpts)
[ALGORITHM] TOOD (6 ckpts)
[ALGORITHM] TridentNet (3 ckpts)
[ALGORITHM] VarifocalNet (8 ckpts)
[ALGORITHM] YOLACT (3 ckpts)
[ALGORITHM] YOLOv3 (6 ckpts)
[ALGORITHM] YOLOF (1 ckpts)
[ALGORITHM] YOLOX (4 ckpts)