diff --git a/fastreid/config/defaults.py b/fastreid/config/defaults.py
index 2ae1cfc..505b5c6 100644
--- a/fastreid/config/defaults.py
+++ b/fastreid/config/defaults.py
@@ -163,9 +163,9 @@ _C.MODEL.PCB.HEAD.EMBEDDING_DIM = 512
 # -----------------------------------------------------------------------------
 _C.INPUT = CN()
 # Size of the image during training
-_C.INPUT.SIZE_TRAIN = [256, 128]
+_C.INPUT.SIZE_TRAIN = [0, 0]
 # Size of the image during test
-_C.INPUT.SIZE_TEST = [256, 128]
+_C.INPUT.SIZE_TEST = [0, 0]
 
 # `True` if cropping is used for data augmentation during training
 _C.INPUT.CROP = CN({"ENABLED": False})
diff --git a/projects/FastShoe/configs/base.yaml b/projects/FastShoe/configs/base.yaml
new file mode 100644
index 0000000..f4cca7c
--- /dev/null
+++ b/projects/FastShoe/configs/base.yaml
@@ -0,0 +1,63 @@
+INPUT:
+  SIZE_TRAIN: [0, 0]  # resize size
+  SIZE_TEST: [0, 0]
+
+  CROP: 
+    ENABLED: False
+
+  FLIP:
+    ENABLED: False
+
+  PADDING:
+    ENABLED: False
+
+  CJ:
+    ENABLED: False
+  
+  AFFINE:
+    ENABLED: False
+
+  AUTOAUG:
+    ENABLED: False
+  
+  AUGMIX:
+    ENABLED: False
+
+  REA:
+    ENABLED: False
+  
+  RPT:
+    ENABLED: False
+
+
+DATALOADER:
+  SAMPLER_TRAIN: TrainingSampler
+  NUM_WORKERS: 8
+
+SOLVER:
+  MAX_EPOCH: 1000
+  AMP:
+    ENABLED: True
+
+  OPT: SGD
+  SCHED: CosineAnnealingLR
+
+  BASE_LR: 0.001
+  MOMENTUM: 0.9
+  NESTEROV: False
+
+  BIAS_LR_FACTOR: 1.
+  WEIGHT_DECAY: 0.0005
+  WEIGHT_DECAY_BIAS: 0.
+  IMS_PER_BATCH: 16
+
+  ETA_MIN_LR: 0.00003
+
+  WARMUP_FACTOR: 0.1
+  WARMUP_ITERS: 100
+
+  CHECKPOINT_PERIOD: 1
+
+TEST:
+  EVAL_PERIOD: 1
+  IMS_PER_BATCH: 32
diff --git a/projects/FastShoe/configs/r101-se-ibn.yaml b/projects/FastShoe/configs/r101-se-ibn.yaml
deleted file mode 100644
index 2f3320b..0000000
--- a/projects/FastShoe/configs/r101-se-ibn.yaml
+++ /dev/null
@@ -1,89 +0,0 @@
-_BASE_: base-pair.yaml
-
-MODEL:
-  META_ARCHITECTURE: Metric
-
-  BACKBONE:
-    NAME: build_resnet_backbone
-    DEPTH: 101x
-    NORM: BN
-    LAST_STRIDE: 2
-    FEAT_DIM: 512
-    PRETRAIN: True
-    WITH_IBN: True
-    WITH_SE: True
-
-  HEADS:
-    NAME: PairHead
-    WITH_BNNECK: False
-    EMBEDDING_DIM: 0
-    POOL_LAYER: FastGlobalAvgPool
-    CLS_LAYER: Linear
-    NUM_CLASSES: 2
-
-  LOSSES:
-    NAME: ("ContrastiveLoss",)
-    
-    CONTRASTIVE:
-      MARGIN: 2.0
-      SCALE: 1.
-
-INPUT:
-  SIZE_TRAIN: [224, 224]  # no need for resize when training
-  SIZE_TEST: [224, 224]
-
-  FLIP:
-    ENABLED: True
-
-  CJ:
-    ENABLED: True
-
-  AUTOAUG:
-    ENABLED: True
-    PROB: 0.5
-  
-  AUGMIX:
-    ENABLED: True
-    PROB: 0.5
-
-  REA:
-    ENABLED: True
-
-
-DATALOADER:
-  SAMPLER_TRAIN: TrainingSampler
-  NUM_WORKERS: 16
-
-SOLVER:
-  MAX_EPOCH: 300
-  AMP:
-    ENABLED: True
-
-  OPT: SGD
-  SCHED: CosineAnnealingLR
-
-  BASE_LR: 0.001
-  MOMENTUM: 0.99
-  NESTEROV: False
-
-  BIAS_LR_FACTOR: 1.
-  WEIGHT_DECAY: 0.0005
-  WEIGHT_DECAY_BIAS: 0.
-  IMS_PER_BATCH: 4
-
-  ETA_MIN_LR: 0.00003
-
-  WARMUP_FACTOR: 0.1
-  WARMUP_ITERS: 100
-
-  CHECKPOINT_PERIOD: 1
-
-TEST:
-  EVAL_PERIOD: 1
-  IMS_PER_BATCH: 128
-
-DATASETS:
-  NAMES: ("ShoeDataset",)
-  TESTS: ("ShoeDataset", "OnlineDataset")
-
-OUTPUT_DIR: projects/FastShoe/logs/r101_ibn_se