misc. small updates

Co-authored-by: Lucas Beyer <[email protected]>
Co-authored-by: Xiaohua Zhai <[email protected]>

README.md

@@ -194,7 +194,7 @@ gcloud alpha compute tpus tpu-vm ssh $NAME --zone=$ZONE --worker=all --command "
 ## Run the train script on TPU VMs
 
 To train your own big_vision models on a large dataset,
-e.g. `imagenet2012` ([prepare the TFDS dataset]((https://www.tensorflow.org/datasets/catalog/imagenet2012)),
+e.g. `imagenet2012` ([prepare the TFDS dataset](https://www.tensorflow.org/datasets/catalog/imagenet2012)),
 run the following command line.
 
 ```
@@ -233,7 +233,6 @@ the following BibTEX to cite it:
   year = {2022},
   publisher = {GitHub},
   journal = {GitHub repository},
-  doi = {TBD},
   howpublished = {\url{https://github.com/google-research/big_vision}}
 }
 ```

big_vision/configs/common_fewshot.py

@@ -32,6 +32,7 @@ def get_fewshot_lsr(batch_size=None,
       'cifar100': ('cifar100', 'train', 'test'),
       'dtd': ('dtd', 'train', 'test'),
       # The first 65000 ImageNet samples have at least 30 shots per any class.
+      # Commented out by default because needs manual download.
       # 'imagenet': ('imagenet2012', 'train[:65000]', 'validation'),
       'pets': ('oxford_iiit_pet', 'train', 'test'),
       'uc_merced': ('uc_merced', 'train[:1000]', 'train[1000:]'),

big_vision/configs/transfer.py

@@ -21,7 +21,7 @@
     Dataset, crop, learning rate, mean (%), range (%)
   - ImageNet, inception_crop, 0.03, 83.27, [83.22...83.33]
   - Cifar10, resmall_crop, 0.003, 98.55, [98.46...98.6]
-  - Cifar100, resmall_crop, 0.01, 91.35, [91.09...91.16]
+  - Cifar100, resmall_crop, 0.01, 91.35, [91.09...91.62]
   - Pets, inception_crop, 0.003, 93.78, [93.62...94.00]
   - Flowers, inception_crop, 0.003, 99.43, [99.42...99.45]