diff --git a/.gitignore b/.gitignore
index 6b90090..9a9a268 100644
--- a/.gitignore
+++ b/.gitignore
@@ -114,6 +114,7 @@ data
 *.pkl.json
 *.log.json
 work_dirs/
+run_scripts/
 
 # Pytorch
 *.pth
diff --git a/README.md b/README.md
index 7bcc784..2e8b17c 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,16 @@
-<div align="center">
-  <img src="resources/mmdet-logo.png" width="600"/>
-</div>
+
+# Learning Open-World Object Proposals without Learning to Classify
+
+## Pytorch implementation for "Learning Open-World Object Proposals without Learning to Classify" (arXiv 2021) <br/>[[Paper](https://arxiv.org/abs/2108.06753)]
+
+[Dahun Kim](https://mcahny.github.io/), [Tsung-Yi Lin](https://scholar.google.com/citations?user=_BPdgV0AAAAJ), [Anelia Angelova](https://scholar.google.co.kr/citations?user=nkmDOPgAAAAJ), [In So Kweon](https://rcv.kaist.ac.kr), and [Weicheng Kuo](https://weichengkuo.github.io/).
+
+
+<img src="./images/epic.png" width="800"> <br/>
+**OLN: Object Localization Network**
+Humans can recognize novel objects in this image despite having never seen them  before. “Is it possible to learn open-world (novel) object proposals?” In this paper we propose Object Localization Network (OLN) that learns localization cues instead of foreground vs background classification. Only trained on COCO, OLN is able to propose many novel objects (top) missed by Mask R-CNN (bottom) on an out-of-sample frame in an ego-centric video.
+
+
 
 **News**: We released the technical report on [ArXiv](https://arxiv.org/abs/1906.07155).
 
diff --git a/configs/oln_box/oln_box.py b/configs/oln_box/oln_box.py
index e1b8527..0217245 100644
--- a/configs/oln_box/oln_box.py
+++ b/configs/oln_box/oln_box.py
@@ -106,7 +106,7 @@ model = dict(
             nms_post=2000,
             max_num=2000,
             # <<<
-            nms_thr=0.8,
+            nms_thr=0.9,
             # >>>
             min_bbox_size=0),
         rcnn=dict(
@@ -226,4 +226,4 @@ load_from = None
 resume_from = None
 workflow = [('train', 1)]
 
-work_dir='./work_dirs/oln_box_rpnnms08/'
\ No newline at end of file
+work_dir='./work_dirs/oln_box_rpnnms09/'
\ No newline at end of file
diff --git a/images/epic.png b/images/epic.png
new file mode 100644
index 0000000..c10e612
Binary files /dev/null and b/images/epic.png differ
diff --git a/tools/dist_train_and_test_bbox.sh b/tools/dist_train_and_test_bbox.sh
new file mode 100755
index 0000000..8d3ca95
--- /dev/null
+++ b/tools/dist_train_and_test_bbox.sh
@@ -0,0 +1,19 @@
+#!/usr/bin/env bash
+
+CONFIG=$1
+CHECKPOINT=$2
+GPUS=$3
+PORT=${PORT:-29500}
+
+
+PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
+python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \
+    $(dirname "$0")/train.py $CONFIG --launcher pytorch ${@:4} --no-validate
+
+
+PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
+python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \
+    $(dirname "$0")/test.py $CONFIG $CHECKPOINT --launcher pytorch ${@:4} \
+    --eval bbox 
+
+