update training params for vitpose-s

configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/ViTPose_small_coco_256x192.py

@@ -8,7 +8,7 @@ optimizer = dict(type='AdamW', lr=5e-4, betas=(0.9, 0.999), weight_decay=0.1,
                  constructor='LayerDecayOptimizerConstructor', 
                  paramwise_cfg=dict(
                                     num_layers=12, 
-                                    layer_decay_rate=0.9,
+                                    layer_decay_rate=0.8,
                                     custom_keys={
                                             'bias': dict(decay_multi=0.),
                                             'pos_embed': dict(decay_mult=0.),
@@ -54,7 +54,7 @@ model = dict(
         use_checkpoint=False,
         mlp_ratio=4,
         qkv_bias=True,
-        drop_path_rate=0.3,
+        drop_path_rate=0.1,
     ),
     keypoint_head=dict(
         type='TopdownHeatmapSimpleHead',

configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/ViTPose_small_simple_coco_256x192.py

@@ -8,7 +8,7 @@ optimizer = dict(type='AdamW', lr=5e-4, betas=(0.9, 0.999), weight_decay=0.1,
                  constructor='LayerDecayOptimizerConstructor', 
                  paramwise_cfg=dict(
                                     num_layers=12, 
-                                    layer_decay_rate=0.9,
+                                    layer_decay_rate=0.8,
                                     custom_keys={
                                             'bias': dict(decay_multi=0.),
                                             'pos_embed': dict(decay_mult=0.),
@@ -54,7 +54,7 @@ model = dict(
         use_checkpoint=False,
         mlp_ratio=4,
         qkv_bias=True,
-        drop_path_rate=0.3,
+        drop_path_rate=0.1,
     ),
     keypoint_head=dict(
         type='TopdownHeatmapSimpleHead',

configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/vitPose+_small_coco+aic+mpii+ap10k+apt36k+wholebody_256x192_udp.py

@@ -12,7 +12,7 @@ optimizer = dict(type='AdamW', lr=1e-3, betas=(0.9, 0.999), weight_decay=0.1,
                  constructor='LayerDecayOptimizerConstructor', 
                  paramwise_cfg=dict(
                                     num_layers=12, 
-                                    layer_decay_rate=0.9,
+                                    layer_decay_rate=0.8,
                                     custom_keys={
                                             'bias': dict(decay_multi=0.),
                                             'pos_embed': dict(decay_mult=0.),
@@ -94,7 +94,7 @@ model = dict(
         use_checkpoint=False,
         mlp_ratio=4,
         qkv_bias=True,
-        drop_path_rate=0.3,
+        drop_path_rate=0.1,
         num_expert=6,
         part_features=192
     ),