metafile.yml 7.5 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203
  1. Collections:
  2. - Name: Seesaw Loss
  3. Metadata:
  4. Training Data: LVIS
  5. Training Techniques:
  6. - SGD with Momentum
  7. - Weight Decay
  8. Training Resources: 8x V100 GPUs
  9. Architecture:
  10. - Softmax
  11. - RPN
  12. - Convolution
  13. - Dense Connections
  14. - FPN
  15. - ResNet
  16. - RoIAlign
  17. - Seesaw Loss
  18. Paper:
  19. URL: https://arxiv.org/abs/2008.10032
  20. Title: 'Seesaw Loss for Long-Tailed Instance Segmentation'
  21. README: configs/seesaw_loss/README.md
  22. Models:
  23. - Name: mask-rcnn_r50_fpn_random_seesaw_loss_mstrain_2x_lvis_v1
  24. In Collection: Seesaw Loss
  25. Config: configs/seesaw_loss/mask-rcnn_r50_fpn_seesaw-loss_random-ms-2x_lvis-v1.py
  26. Metadata:
  27. Epochs: 24
  28. Results:
  29. - Task: Object Detection
  30. Dataset: LVIS v1
  31. Metrics:
  32. box AP: 25.6
  33. - Task: Instance Segmentation
  34. Dataset: LVIS v1
  35. Metrics:
  36. mask AP: 25.0
  37. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r50_fpn_random_seesaw_loss_mstrain_2x_lvis_v1-a698dd3d.pth
  38. - Name: mask-rcnn_r50_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
  39. In Collection: Seesaw Loss
  40. Config: configs/seesaw_loss/mask-rcnn_r50_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1.py
  41. Metadata:
  42. Epochs: 24
  43. Results:
  44. - Task: Object Detection
  45. Dataset: LVIS v1
  46. Metrics:
  47. box AP: 25.6
  48. - Task: Instance Segmentation
  49. Dataset: LVIS v1
  50. Metrics:
  51. mask AP: 25.4
  52. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r50_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-a1c11314.pth
  53. - Name: mask-rcnn_r101_fpn_seesaw-loss_random-ms-2x_lvis-v1
  54. In Collection: Seesaw Loss
  55. Config: configs/seesaw_loss/mask-rcnn_r101_fpn_seesaw-loss_random-ms-2x_lvis-v1.py
  56. Metadata:
  57. Epochs: 24
  58. Results:
  59. - Task: Object Detection
  60. Dataset: LVIS v1
  61. Metrics:
  62. box AP: 27.4
  63. - Task: Instance Segmentation
  64. Dataset: LVIS v1
  65. Metrics:
  66. mask AP: 26.7
  67. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1-8e6e6dd5.pth
  68. - Name: mask-rcnn_r101_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1
  69. In Collection: Seesaw Loss
  70. Config: configs/seesaw_loss/mask-rcnn_r101_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1.py
  71. Metadata:
  72. Epochs: 24
  73. Results:
  74. - Task: Object Detection
  75. Dataset: LVIS v1
  76. Metrics:
  77. box AP: 27.2
  78. - Task: Instance Segmentation
  79. Dataset: LVIS v1
  80. Metrics:
  81. mask AP: 27.3
  82. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-a0b59c42.pth
  83. - Name: mask-rcnn_r50_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1
  84. In Collection: Seesaw Loss
  85. Config: configs/seesaw_loss/mask-rcnn_r50_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1.py
  86. Metadata:
  87. Epochs: 24
  88. Results:
  89. - Task: Object Detection
  90. Dataset: LVIS v1
  91. Metrics:
  92. box AP: 27.6
  93. - Task: Instance Segmentation
  94. Dataset: LVIS v1
  95. Metrics:
  96. mask AP: 26.4
  97. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1-392a804b.pth
  98. - Name: mask-rcnn_r50_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
  99. In Collection: Seesaw Loss
  100. Config: configs/seesaw_loss/mask-rcnn_r50_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1.py
  101. Metadata:
  102. Epochs: 24
  103. Results:
  104. - Task: Object Detection
  105. Dataset: LVIS v1
  106. Metrics:
  107. box AP: 27.6
  108. - Task: Instance Segmentation
  109. Dataset: LVIS v1
  110. Metrics:
  111. mask AP: 26.8
  112. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-cd0f6a12.pth
  113. - Name: mask-rcnn_r101_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1
  114. In Collection: Seesaw Loss
  115. Config: configs/seesaw_loss/mask-rcnn_r101_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1.py
  116. Metadata:
  117. Epochs: 24
  118. Results:
  119. - Task: Object Detection
  120. Dataset: LVIS v1
  121. Metrics:
  122. box AP: 28.9
  123. - Task: Instance Segmentation
  124. Dataset: LVIS v1
  125. Metrics:
  126. mask AP: 27.6
  127. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1-e68eb464.pth
  128. - Name: mask-rcnn_r101_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1
  129. In Collection: Seesaw Loss
  130. Config: configs/seesaw_loss/mask-rcnn_r101_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1.py
  131. Metadata:
  132. Epochs: 24
  133. Results:
  134. - Task: Object Detection
  135. Dataset: LVIS v1
  136. Metrics:
  137. box AP: 28.9
  138. - Task: Instance Segmentation
  139. Dataset: LVIS v1
  140. Metrics:
  141. mask AP: 28.2
  142. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-1d817139.pth
  143. - Name: cascade-mask-rcnn_r101_fpn_seesaw-loss_random-ms-2x_lvis-v1
  144. In Collection: Seesaw Loss
  145. Config: configs/seesaw_loss/cascade-mask-rcnn_r101_fpn_seesaw-loss_random-ms-2x_lvis-v1.py
  146. Metadata:
  147. Epochs: 24
  148. Results:
  149. - Task: Object Detection
  150. Dataset: LVIS v1
  151. Metrics:
  152. box AP: 33.1
  153. - Task: Instance Segmentation
  154. Dataset: LVIS v1
  155. Metrics:
  156. mask AP: 29.2
  157. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/cascade_mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1-71e2215e.pth
  158. - Name: cascade-mask-rcnn_r101_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1
  159. In Collection: Seesaw Loss
  160. Config: configs/seesaw_loss/cascade-mask-rcnn_r101_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1.py
  161. Metadata:
  162. Epochs: 24
  163. Results:
  164. - Task: Object Detection
  165. Dataset: LVIS v1
  166. Metrics:
  167. box AP: 33.0
  168. - Task: Instance Segmentation
  169. Dataset: LVIS v1
  170. Metrics:
  171. mask AP: 30.0
  172. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/cascade_mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-8b5a6745.pth
  173. - Name: cascade-mask-rcnn_r101_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1
  174. In Collection: Seesaw Loss
  175. Config: configs/seesaw_loss/cascade-mask-rcnn_r101_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1.py
  176. Metadata:
  177. Epochs: 24
  178. Results:
  179. - Task: Object Detection
  180. Dataset: LVIS v1
  181. Metrics:
  182. box AP: 30.0
  183. - Task: Instance Segmentation
  184. Dataset: LVIS v1
  185. Metrics:
  186. mask AP: 29.3
  187. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1-5d8ca2a4.pth
  188. - Name: cascade-mask-rcnn_r101_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1
  189. In Collection: Seesaw Loss
  190. Config: configs/seesaw_loss/cascade-mask-rcnn_r101_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1.py
  191. Metadata:
  192. Epochs: 24
  193. Results:
  194. - Task: Object Detection
  195. Dataset: LVIS v1
  196. Metrics:
  197. box AP: 32.8
  198. - Task: Instance Segmentation
  199. Dataset: LVIS v1
  200. Metrics:
  201. mask AP: 30.1
  202. Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-c8551505.pth