diff --git a/experiments/coco/resnet/res101_256x192_d256x3_adam_lr1e-3.yaml b/experiments/coco/resnet/res101_256x192_d256x3_adam_lr1e-3.yaml
new file mode 100755
index 00000000..61e8f78a
--- /dev/null
+++ b/experiments/coco/resnet/res101_256x192_d256x3_adam_lr1e-3.yaml
@@ -0,0 +1,83 @@
+AUTO_RESUME: true
+CUDNN:
+  BENCHMARK: true
+  DETERMINISTIC: false
+  ENABLED: true
+DATA_DIR: ''
+GPUS: (0,1,2,3)
+OUTPUT_DIR: 'output'
+LOG_DIR: 'log'
+WORKERS: 24
+PRINT_FREQ: 100
+
+DATASET:
+  COLOR_RGB: false
+  DATASET: 'coco'
+  ROOT: 'data/coco/'
+  TEST_SET: 'val2017'
+  TRAIN_SET: 'train2017'
+  FLIP: true
+  ROT_FACTOR: 40
+  SCALE_FACTOR: 0.3
+MODEL:
+  NAME: 'pose_resnet'
+  PRETRAINED: 'models/pytorch/imagenet/resnet101-5d3b4d8f.pth'
+  IMAGE_SIZE:
+  - 192
+  - 256
+  HEATMAP_SIZE:
+  - 48
+  - 64
+  SIGMA: 2
+  NUM_JOINTS: 17
+  TARGET_TYPE: 'gaussian'
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    DECONV_WITH_BIAS: false
+    NUM_DECONV_LAYERS: 3
+    NUM_DECONV_FILTERS:
+    - 256
+    - 256
+    - 256
+    NUM_DECONV_KERNELS:
+    - 4
+    - 4
+    - 4
+    NUM_LAYERS: 101
+LOSS:
+  USE_TARGET_WEIGHT: true
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  SHUFFLE: true
+  BEGIN_EPOCH: 0
+  END_EPOCH: 140
+  OPTIMIZER: 'adam'
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP:
+  - 90
+  - 120
+  WD: 0.0001
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  MOMENTUM: 0.9
+  NESTEROV: false
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
+  BBOX_THRE: 1.0
+  IMAGE_THRE: 0.0
+  IN_VIS_THRE: 0.2
+  MODEL_FILE: ''
+  NMS_THRE: 1.0
+  OKS_THRE: 0.9
+  FLIP_TEST: true
+  POST_PROCESS: true
+  SHIFT_HEATMAP: true
+  USE_GT_BBOX: true
+DEBUG:
+  DEBUG: true
+  SAVE_BATCH_IMAGES_GT: true
+  SAVE_BATCH_IMAGES_PRED: true
+  SAVE_HEATMAPS_GT: true
+  SAVE_HEATMAPS_PRED: true
diff --git a/experiments/coco/resnet/res101_384x288_d256x3_adam_lr1e-3.yaml b/experiments/coco/resnet/res101_384x288_d256x3_adam_lr1e-3.yaml
new file mode 100755
index 00000000..b1523c69
--- /dev/null
+++ b/experiments/coco/resnet/res101_384x288_d256x3_adam_lr1e-3.yaml
@@ -0,0 +1,83 @@
+AUTO_RESUME: true
+CUDNN:
+  BENCHMARK: true
+  DETERMINISTIC: false
+  ENABLED: true
+DATA_DIR: ''
+GPUS: (0,1,2,3)
+OUTPUT_DIR: 'output'
+LOG_DIR: 'log'
+WORKERS: 24
+PRINT_FREQ: 100
+
+DATASET:
+  COLOR_RGB: false
+  DATASET: 'coco'
+  ROOT: 'data/coco/'
+  TEST_SET: 'val2017'
+  TRAIN_SET: 'train2017'
+  FLIP: true
+  ROT_FACTOR: 40
+  SCALE_FACTOR: 0.3
+MODEL:
+  NAME: 'pose_resnet'
+  PRETRAINED: 'models/pytorch/imagenet/resnet101-5d3b4d8f.pth'
+  IMAGE_SIZE:
+  - 288
+  - 384
+  HEATMAP_SIZE:
+  - 72
+  - 96
+  SIGMA: 3
+  NUM_JOINTS: 17
+  TARGET_TYPE: 'gaussian'
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    DECONV_WITH_BIAS: false
+    NUM_DECONV_LAYERS: 3
+    NUM_DECONV_FILTERS:
+    - 256
+    - 256
+    - 256
+    NUM_DECONV_KERNELS:
+    - 4
+    - 4
+    - 4
+    NUM_LAYERS: 101
+LOSS:
+  USE_TARGET_WEIGHT: true
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  SHUFFLE: true
+  BEGIN_EPOCH: 0
+  END_EPOCH: 140
+  OPTIMIZER: 'adam'
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP:
+  - 90
+  - 120
+  WD: 0.0001
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  MOMENTUM: 0.9
+  NESTEROV: false
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
+  BBOX_THRE: 1.0
+  IMAGE_THRE: 0.0
+  IN_VIS_THRE: 0.2
+  MODEL_FILE: ''
+  NMS_THRE: 1.0
+  OKS_THRE: 0.9
+  FLIP_TEST: true
+  POST_PROCESS: true
+  SHIFT_HEATMAP: true
+  USE_GT_BBOX: true
+DEBUG:
+  DEBUG: true
+  SAVE_BATCH_IMAGES_GT: true
+  SAVE_BATCH_IMAGES_PRED: true
+  SAVE_HEATMAPS_GT: true
+  SAVE_HEATMAPS_PRED: true
diff --git a/experiments/coco/resnet/res152_256x192_d256x3_adam_lr1e-3.yaml b/experiments/coco/resnet/res152_256x192_d256x3_adam_lr1e-3.yaml
new file mode 100755
index 00000000..580c09fb
--- /dev/null
+++ b/experiments/coco/resnet/res152_256x192_d256x3_adam_lr1e-3.yaml
@@ -0,0 +1,83 @@
+AUTO_RESUME: true
+CUDNN:
+  BENCHMARK: true
+  DETERMINISTIC: false
+  ENABLED: true
+DATA_DIR: ''
+GPUS: (0,1,2,3)
+OUTPUT_DIR: 'output'
+LOG_DIR: 'log'
+WORKERS: 24
+PRINT_FREQ: 100
+
+DATASET:
+  COLOR_RGB: false
+  DATASET: 'coco'
+  ROOT: 'data/coco/'
+  TEST_SET: 'val2017'
+  TRAIN_SET: 'train2017'
+  FLIP: true
+  ROT_FACTOR: 40
+  SCALE_FACTOR: 0.3
+MODEL:
+  NAME: 'pose_resnet'
+  PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
+  IMAGE_SIZE:
+  - 192
+  - 256
+  HEATMAP_SIZE:
+  - 48
+  - 64
+  SIGMA: 2
+  NUM_JOINTS: 17
+  TARGET_TYPE: 'gaussian'
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    DECONV_WITH_BIAS: false
+    NUM_DECONV_LAYERS: 3
+    NUM_DECONV_FILTERS:
+    - 256
+    - 256
+    - 256
+    NUM_DECONV_KERNELS:
+    - 4
+    - 4
+    - 4
+    NUM_LAYERS: 152
+LOSS:
+  USE_TARGET_WEIGHT: true
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  SHUFFLE: true
+  BEGIN_EPOCH: 0
+  END_EPOCH: 140
+  OPTIMIZER: 'adam'
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP:
+  - 90
+  - 120
+  WD: 0.0001
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  MOMENTUM: 0.9
+  NESTEROV: false
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
+  BBOX_THRE: 1.0
+  IMAGE_THRE: 0.0
+  IN_VIS_THRE: 0.2
+  MODEL_FILE: ''
+  NMS_THRE: 1.0
+  OKS_THRE: 0.9
+  FLIP_TEST: true
+  POST_PROCESS: true
+  SHIFT_HEATMAP: true
+  USE_GT_BBOX: true
+DEBUG:
+  DEBUG: true
+  SAVE_BATCH_IMAGES_GT: true
+  SAVE_BATCH_IMAGES_PRED: true
+  SAVE_HEATMAPS_GT: true
+  SAVE_HEATMAPS_PRED: true
diff --git a/experiments/coco/resnet/res152_384x288_d256x3_adam_lr1e-3.yaml b/experiments/coco/resnet/res152_384x288_d256x3_adam_lr1e-3.yaml
new file mode 100755
index 00000000..156c5764
--- /dev/null
+++ b/experiments/coco/resnet/res152_384x288_d256x3_adam_lr1e-3.yaml
@@ -0,0 +1,83 @@
+AUTO_RESUME: true
+CUDNN:
+  BENCHMARK: true
+  DETERMINISTIC: false
+  ENABLED: true
+DATA_DIR: ''
+GPUS: (0,1,2,3)
+OUTPUT_DIR: 'output'
+LOG_DIR: 'log'
+WORKERS: 24
+PRINT_FREQ: 100
+
+DATASET:
+  COLOR_RGB: false
+  DATASET: 'coco'
+  ROOT: 'data/coco/'
+  TEST_SET: 'val2017'
+  TRAIN_SET: 'train2017'
+  FLIP: true
+  ROT_FACTOR: 40
+  SCALE_FACTOR: 0.3
+MODEL:
+  NAME: 'pose_resnet'
+  PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
+  IMAGE_SIZE:
+  - 288
+  - 384
+  HEATMAP_SIZE:
+  - 72
+  - 96
+  SIGMA: 3
+  NUM_JOINTS: 17
+  TARGET_TYPE: 'gaussian'
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    DECONV_WITH_BIAS: false
+    NUM_DECONV_LAYERS: 3
+    NUM_DECONV_FILTERS:
+    - 256
+    - 256
+    - 256
+    NUM_DECONV_KERNELS:
+    - 4
+    - 4
+    - 4
+    NUM_LAYERS: 152
+LOSS:
+  USE_TARGET_WEIGHT: true
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  SHUFFLE: true
+  BEGIN_EPOCH: 0
+  END_EPOCH: 140
+  OPTIMIZER: 'adam'
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP:
+  - 90
+  - 120
+  WD: 0.0001
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  MOMENTUM: 0.9
+  NESTEROV: false
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
+  BBOX_THRE: 1.0
+  IMAGE_THRE: 0.0
+  IN_VIS_THRE: 0.2
+  MODEL_FILE: ''
+  NMS_THRE: 1.0
+  OKS_THRE: 0.9
+  FLIP_TEST: true
+  POST_PROCESS: true
+  SHIFT_HEATMAP: true
+  USE_GT_BBOX: true
+DEBUG:
+  DEBUG: true
+  SAVE_BATCH_IMAGES_GT: true
+  SAVE_BATCH_IMAGES_PRED: true
+  SAVE_HEATMAPS_GT: true
+  SAVE_HEATMAPS_PRED: true
diff --git a/experiments/coco/resnet/res50_256x192_d256x3_adam_lr1e-3.yaml b/experiments/coco/resnet/res50_256x192_d256x3_adam_lr1e-3.yaml
new file mode 100755
index 00000000..1c00e868
--- /dev/null
+++ b/experiments/coco/resnet/res50_256x192_d256x3_adam_lr1e-3.yaml
@@ -0,0 +1,83 @@
+AUTO_RESUME: true
+CUDNN:
+  BENCHMARK: true
+  DETERMINISTIC: false
+  ENABLED: true
+DATA_DIR: ''
+GPUS: (0,1,2,3)
+OUTPUT_DIR: 'output'
+LOG_DIR: 'log'
+WORKERS: 24
+PRINT_FREQ: 100
+
+DATASET:
+  COLOR_RGB: false
+  DATASET: 'coco'
+  ROOT: 'data/coco/'
+  TEST_SET: 'val2017'
+  TRAIN_SET: 'train2017'
+  FLIP: true
+  ROT_FACTOR: 40
+  SCALE_FACTOR: 0.3
+MODEL:
+  NAME: 'pose_resnet'
+  PRETRAINED: 'models/pytorch/imagenet/resnet50-19c8e357.pth'
+  IMAGE_SIZE:
+  - 192
+  - 256
+  HEATMAP_SIZE:
+  - 48
+  - 64
+  SIGMA: 2
+  NUM_JOINTS: 17
+  TARGET_TYPE: 'gaussian'
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    DECONV_WITH_BIAS: false
+    NUM_DECONV_LAYERS: 3
+    NUM_DECONV_FILTERS:
+    - 256
+    - 256
+    - 256
+    NUM_DECONV_KERNELS:
+    - 4
+    - 4
+    - 4
+    NUM_LAYERS: 50
+LOSS:
+  USE_TARGET_WEIGHT: true
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  SHUFFLE: true
+  BEGIN_EPOCH: 0
+  END_EPOCH: 140
+  OPTIMIZER: 'adam'
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP:
+  - 90
+  - 120
+  WD: 0.0001
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  MOMENTUM: 0.9
+  NESTEROV: false
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
+  BBOX_THRE: 1.0
+  IMAGE_THRE: 0.0
+  IN_VIS_THRE: 0.2
+  MODEL_FILE: ''
+  NMS_THRE: 1.0
+  OKS_THRE: 0.9
+  FLIP_TEST: true
+  POST_PROCESS: true
+  SHIFT_HEATMAP: true
+  USE_GT_BBOX: true
+DEBUG:
+  DEBUG: true
+  SAVE_BATCH_IMAGES_GT: true
+  SAVE_BATCH_IMAGES_PRED: true
+  SAVE_HEATMAPS_GT: true
+  SAVE_HEATMAPS_PRED: true
diff --git a/experiments/coco/resnet/res50_384x288_d256x3_adam_lr1e-3.yaml b/experiments/coco/resnet/res50_384x288_d256x3_adam_lr1e-3.yaml
new file mode 100755
index 00000000..caf7726c
--- /dev/null
+++ b/experiments/coco/resnet/res50_384x288_d256x3_adam_lr1e-3.yaml
@@ -0,0 +1,83 @@
+AUTO_RESUME: true
+CUDNN:
+  BENCHMARK: true
+  DETERMINISTIC: false
+  ENABLED: true
+DATA_DIR: ''
+GPUS: (0,1,2,3)
+OUTPUT_DIR: 'output'
+LOG_DIR: 'log'
+WORKERS: 24
+PRINT_FREQ: 100
+
+DATASET:
+  COLOR_RGB: false
+  DATASET: 'coco'
+  ROOT: 'data/coco/'
+  TEST_SET: 'val2017'
+  TRAIN_SET: 'train2017'
+  FLIP: true
+  ROT_FACTOR: 40
+  SCALE_FACTOR: 0.3
+MODEL:
+  NAME: 'pose_resnet'
+  PRETRAINED: 'models/pytorch/imagenet/resnet50-19c8e357.pth'
+  IMAGE_SIZE:
+  - 288
+  - 384
+  HEATMAP_SIZE:
+  - 72
+  - 96
+  SIGMA: 3
+  NUM_JOINTS: 17
+  TARGET_TYPE: 'gaussian'
+  EXTRA:
+    FINAL_CONV_KERNEL: 1
+    DECONV_WITH_BIAS: false
+    NUM_DECONV_LAYERS: 3
+    NUM_DECONV_FILTERS:
+    - 256
+    - 256
+    - 256
+    NUM_DECONV_KERNELS:
+    - 4
+    - 4
+    - 4
+    NUM_LAYERS: 50
+LOSS:
+  USE_TARGET_WEIGHT: true
+TRAIN:
+  BATCH_SIZE_PER_GPU: 32
+  SHUFFLE: true
+  BEGIN_EPOCH: 0
+  END_EPOCH: 140
+  OPTIMIZER: 'adam'
+  LR: 0.001
+  LR_FACTOR: 0.1
+  LR_STEP:
+  - 90
+  - 120
+  WD: 0.0001
+  GAMMA1: 0.99
+  GAMMA2: 0.0
+  MOMENTUM: 0.9
+  NESTEROV: false
+TEST:
+  BATCH_SIZE_PER_GPU: 32
+  COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
+  BBOX_THRE: 1.0
+  IMAGE_THRE: 0.0
+  IN_VIS_THRE: 0.2
+  MODEL_FILE: ''
+  NMS_THRE: 1.0
+  OKS_THRE: 0.9
+  FLIP_TEST: true
+  POST_PROCESS: true
+  SHIFT_HEATMAP: true
+  USE_GT_BBOX: true
+DEBUG:
+  DEBUG: true
+  SAVE_BATCH_IMAGES_GT: true
+  SAVE_BATCH_IMAGES_PRED: true
+  SAVE_HEATMAPS_GT: true
+  SAVE_HEATMAPS_PRED: true