Update metafile

configs/3dssd/metafile.yml

@@ -7,8 +7,13 @@ Collections:
  Training Resources: 4x TITAN X
  Architecture:
  - PointNet++
- Paper: https://arxiv.org/abs/2002.10187
+ Paper:
+ URL: https://arxiv.org/abs/2002.10187
+ Title: '3DSSD: Point-based 3D Single Stage Object Detector'
  README: configs/3dssd/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/ssd3dnet.py#L7
+ Version: v0.6.0
 
 Models:
  - Name: 3dssd_4x4_kitti-3d-car

configs/centerpoint/metafile.yml

@@ -7,8 +7,13 @@ Collections:
  Training Resources: 8x V100 GPUs
  Architecture:
  - Hard Voxelization
- Paper: https://arxiv.org/abs/2006.11275
+ Paper:
+ URL: https://arxiv.org/abs/2006.11275
+ Title: Center-based 3D Object Detection and Tracking
  README: configs/centerpoint/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/centerpoint.py#L10
+ Version: v0.6.0
 
 Models:
  - Name: centerpoint_01voxel_second_secfpn_circlenms_4x8_cyclic_20e_nus

configs/dynamic_voxelization/metafile.yml

@@ -7,8 +7,13 @@ Collections:
  Training Resources: 8x V100 GPUs
  Architecture:
  - Dynamic Voxelization
- Paper: https://arxiv.org/abs/1910.06528
+ Paper:
+ URL: https://arxiv.org/abs/1910.06528
+ Title: End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
  README: configs/dynamic_voxelization/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/dynamic_voxelnet.py#L11
+ Version: v0.1.0
 
 Models:
  - Name: dv_second_secfpn_6x8_80e_kitti-3d-car

configs/fcos3d/metafile.yml

@@ -7,8 +7,13 @@ Collections:
  Training Resources: 8x GeForce RTX 2080 Ti
  Architecture:
  - FCOSMono3DHead
- Paper: https://arxiv.org/abs/2104.10956
+ Paper:
+ URL: https://arxiv.org/abs/2104.10956
+ Title: 'FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection'
  README: configs/fcos3d/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/fcos_mono3d.py#L7
+ Version: v0.13.0
 
 Models:
  - Name: fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d

configs/fp16/metafile.yml

@@ -8,9 +8,16 @@ Collections:
  Architecture:
  - Hard Voxelization
  Paper:
- - https://www.mdpi.com/1424-8220/18/10/3337
- - https://arxiv.org/abs/1812.05784
+ URL:
+ - https://www.mdpi.com/1424-8220/18/10/3337
+ - https://arxiv.org/abs/1812.05784
+ Title:
+ - 'SECOND: Sparsely Embedded Convolutional Detection'
+ - 'PointPillars: Fast Encoders for Object Detection from Point Clouds'
  README: configs/fp16/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmcv/blob/c47c9196d067a0900b7b8987a8e82768edab2fff/mmcv/runner/fp16_utils.py#L55
+ Version: v0.1.0
 
 Models:
  - Name: hv_second_secfpn_fp16_6x8_80e_kitti-3d-car

configs/free_anchor/metafile.yml

@@ -8,8 +8,13 @@ Collections:
  Architecture:
  - Hard Voxelization
  - Free Anchor
- Paper: https://arxiv.org/abs/1909.02466
+ Paper:
+ URL: https://arxiv.org/abs/1909.02466
+ Title: 'FreeAnchor: Learning to Match Anchors for Visual Object Detection'
  README: configs/free_anchor/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/dense_heads/free_anchor3d_head.py#L13
+ Version: v0.1.0
 
 Models:
  - Name: hv_pointpillars_fpn_sbn-all_free-anchor_4x8_2x_nus-3d

configs/groupfree3d/metafile.yml

@@ -6,8 +6,13 @@ Collections:
  Training Resources: 4x V100 GPUs
  Architecture:
  - PointNet++
- Paper: https://arxiv.org/abs/2104.00678
+ Paper:
+ URL: https://arxiv.org/abs/2104.00678
+ Title: Group-Free 3D Object Detection via Transformers
  README: configs/groupfree3d/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/groupfree3dnet.py#L10
+ Version: v0.15.0
 
 Models:
  - Name: groupfree3d_8x4_scannet-3d-18class-L6-O256.py

configs/h3dnet/metafile.yml

@@ -6,8 +6,13 @@ Collections:
  - AdamW
  Training Resources: 8x GeForce GTX 1080 Ti
  Architecture:
- Paper: https://arxiv.org/abs/2006.05682
+ Paper:
+ URL: https://arxiv.org/abs/2006.05682
+ Title: 'H3DNet: 3D Object Detection Using Hybrid Geometric Primitives'
  README: configs/h3dnet/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/h3dnet.py#L10
+ Version: v0.6.0
 
 Models:
  - Name: h3dnet_3x8_scannet-3d-18class

configs/imvotenet/metafile.yml

@@ -9,8 +9,13 @@ Collections:
  - Faster R-CNN
  - VoteNet
  - Feature Pyramid Network
- Paper: https://arxiv.org/abs/2001.10692
+ Paper:
+ URL: https://arxiv.org/abs/2001.10692
+ Title: 'ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes'
  README: configs/imvotenet/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/imvotenet.py#L56
+ Version: v0.12.0
 
 Models:
  - Name: imvotenet_faster_rcnn_r50_fpn_2x4_sunrgbd-3d-10class

configs/imvoxelnet/metafile.yml

@@ -7,8 +7,13 @@ Collections:
  Training Resources: 8x Tesla P40
  Architecture:
  - Anchor3DHead
- Paper: https://arxiv.org/abs/2106.01178
+ Paper:
+ URL: https://arxiv.org/abs/2106.01178
+ Title: 'ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection'
  README: configs/imvoxelnet/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/imvoxelnet.py#L11
+ Version: v0.15.0
 
 Models:
  - Name: imvoxelnet_kitti-3d-car

configs/mvxnet/metafile.yml

@@ -8,8 +8,13 @@ Collections:
  Architecture:
  - Feature Pyramid Network
  - Dynamic Voxelization
- Paper: https://arxiv.org/abs/1904.01649
+ Paper:
+ URL: https://arxiv.org/abs/1904.01649
+ Title: 'MVX-Net: Multimodal VoxelNet for 3D Object Detection'
  README: configs/mvxnet/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/mvx_two_stage.py#L20
+ Version: v0.1.0
 
 Models:
  - Name: dv_mvx-fpn_second_secfpn_adamw_2x8_80e_kitti-3d-3class

configs/nuimages/metafile.yml

@@ -8,9 +8,16 @@ Collections:
  - RoI Align
  - RPN
  Paper:
- - https://arxiv.org/abs/1703.06870
- - https://arxiv.org/abs/1712.00726v1
+ URL:
+ - https://arxiv.org/abs/1703.06870
+ - https://arxiv.org/abs/1712.00726v1
+ Title:
+ - Mask R-CNN
+ - 'Cascade R-CNN: Delving into High Quality Object Detection'
  README: configs/nuimages/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/tools/data_converter/nuimage_converter.py#L218
+ Version: v0.6.0
 
 Models:
  - Name: mask_rcnn_r50_fpn_1x_nuim

configs/paconv/metafile.yml

@@ -6,8 +6,13 @@ Collections:
  Training Resources: 8x Titan XP GPUs
  Architecture:
  - PAConv
- Paper: https://arxiv.org/abs/2103.14635
+ Paper:
+ URL: https://arxiv.org/abs/2103.14635
+ Title: 'PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds'
  README: configs/paconv/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/ops/paconv/paconv.py#L106
+ Version: v0.16.0
 
 Models:
  - Name: paconv_ssg_8x8_cosine_150e_s3dis_seg-3d-13class.py

configs/parta2/metafile.yml

@@ -7,8 +7,13 @@ Collections:
  Training Resources: 8x V100 GPUs
  Architecture:
  - Sparse U-Net
- Paper: https://arxiv.org/abs/1907.03670
+ Paper:
+ URL: https://arxiv.org/abs/1907.03670
+ Title: 'From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network'
  README: configs/parta2/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/parta2.py#L12
+ Version: v0.1.0
 
 Models:
  - Name: hv_PartA2_secfpn_2x8_cyclic_80e_kitti-3d-3class

configs/pointnet2/metafile.yml

@@ -6,8 +6,13 @@ Collections:
  Training Resources: 2x Titan XP GPUs
  Architecture:
  - PointNet++
- Paper: https://arxiv.org/abs/1706.02413
+ Paper:
+ URL: https://arxiv.org/abs/1706.02413
+ Title: 'PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space'
  README: configs/pointnet2/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/backbones/pointnet2_sa_ssg.py#L12
+ Version: v0.14.0
 
 Models:
  - Name: pointnet2_ssg_xyz-only_16x2_cosine_200e_scannet_seg-3d-20class.py

configs/pointpillars/metafile.yml

@@ -5,8 +5,13 @@ Collections:
  - AdamW
  Architecture:
  - Feature Pyramid Network
- Paper: https://arxiv.org/abs/1812.05784
+ Paper:
+ URL: https://arxiv.org/abs/1812.05784
+ Title: 'PointPillars: Fast Encoders for Object Detection from Point Clouds'
  README: configs/pointpillars/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/voxel_encoders/pillar_encoder.py#L13
+ Version: v0.6.0
 
 Models:
  - Name: hv_pointpillars_secfpn_6x8_160e_kitti-3d-car

configs/regnet/metafile.yml

@@ -7,8 +7,13 @@ Collections:
  Architecture:
  - Faster R-CNN
  - Hard Voxelization
- Paper: https://arxiv.org/abs/2003.13678
+ Paper:
+ URL: https://arxiv.org/abs/2003.13678
+ Title: 'Designing Network Design Spaces'
  README: configs/regnet/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/backbones/nostem_regnet.py#L7
+ Version: v0.14.0
 
 Models:
  - Name: hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d

configs/second/metafile.yml

@@ -5,8 +5,13 @@ Collections:
  - AdamW
  Architecture:
  - Hard Voxelization
- Paper: https://www.mdpi.com/1424-8220/18/10/3337
+ Paper:
+ URL: https://www.mdpi.com/1424-8220/18/10/3337
+ Title: 'SECOND: Sparsely Embedded Convolutional Detection'
  README: configs/second/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/backbones/second.py#L11
+ Version: v0.7.0
 
 Models:
  - Name: hv_second_secfpn_6x8_80e_kitti-3d-car

configs/ssn/metafile.yml

@@ -6,8 +6,13 @@ Collections:
  Training Resources: 8x GeForce GTX 1080 Ti
  Architecture:
  - Hard Voxelization
- Paper: https://arxiv.org/abs/2004.02774
+ Paper:
+ URL: https://arxiv.org/abs/2004.02774
+ Title: 'SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds'
  README: configs/ssn/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/dense_heads/shape_aware_head.py#L166
+ Version: v0.7.0
 
 Models:
  - Name: hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d

configs/votenet/metafile.yml

@@ -6,8 +6,13 @@ Collections:
  Training Resources: 8x V100 GPUs
  Architecture:
  - PointNet++
- Paper: https://arxiv.org/abs/1904.09664
+ Paper:
+ URL: https://arxiv.org/abs/1904.09664
+ Title: Deep Hough Voting for 3D Object Detection in Point Clouds
  README: configs/votenet/README.md
+ Code:
+ URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/votenet.py#L10
+ Version: v0.1.0
 
 Models:
  - Name: votenet_16x8_sunrgbd-3d-10class.py