Update README.md

README.md

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 **[[Paper]](https://arxiv.org/abs/2006.10721) [[Raw Results]](https://drive.google.com/drive/folders/1w_SifcV_Ddu2TSqaV-14XSgLlKZq2lPN?usp=sharing) [[Training and Testing]](https://github.com/researchmm/TracKit/tree/master/lib/tutorial/Ocean/ocean.md) [[Demo]](https://www.youtube.com/watch?v=83-XCEsQ1Kg&feature=youtu.be)** <br/>
 
-Official implementation of the Ocean tracker. Ocean proposes a general anchor-free based tracking framework. It includes a pixel-based anchor-free regression network to solve the weak rectification problem of RPN, and an object-aware classification network to learn robust target-related representation. Moreover, we introduce an effective multi-scale feature combination module to replace heavy result fusion mechanism in recent Siamese trackers. This work also serves as the baseline model of OceanPlus. An additional **TensorRT** toy demo is provided in this repo.
+Official implementation of the Ocean tracker. Ocean proposes a general anchor-free based tracking framework. It includes a pixel-based anchor-free regression network to solve the weak rectification problem of RPN, and an object-aware classification network to learn robust target-related representation. Moreover, we introduce an effective multi-scale feature combination module to replace heavy result fusion mechanism in recent Siamese trackers. An additional **TensorRT** toy demo is provided in this repo.
 
 <div align="left">
   <img src="https://github.com/penghouwen/TracKit/blob/master/demo/Ocean_overview.jpg" height="300" alt="Ocean"/><br/>
@@ -67,9 +67,12 @@ SiamDW is one of the pioneering work using deep backbone networks for Siamese tr
 
 <img src="https://github.com/penghouwen/TracKit/blob/master/demo/siamdw_overview.jpg" height="250" alt="SiamDW"/><br/>
 
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+<!-- </div>
 ### OceanPlus
 **[[Paper]](https://arxiv.org/pdf/2008.02745v2.pdf) [[Raw Results]](https://drive.google.com/drive/folders/1doQiv82swum2rEXXo5C735WrLb_uAVbq?usp=sharing) [[Training and Testing Tutorial]](https://github.com/researchmm/TracKit/tree/master/lib/tutorial/OceanPlus/oceanplus.md) [[Demo]](https://github.com/researchmm/TracKit/tree/master/demo/oceanplus.gif)** <br/>
 Official implementation of the OceanPlus tracker. It proposes an attention retrieval network (ARN) to perform soft spatial constraints on backbone features. Concretely, we first build a look-up-table (LUT) with the ground-truth mask in the starting frame, and then retrieve the LUT to obtain a target-aware attention map for suppressing the negative influence of pixel-wise background clutter. Furthermore, we introduce a multi-resolution multi-stage segmentation network (MMS) to ulteriorly weaken responses of background clutter by reusing the predicted mask to filter backbone features.
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 </div>
 <img src="https://github.com/researchmm/TracKit/blob/master/demo/oceanplu_overview.png" height="250" alt="OceanPlus"/><br/>
@@ -85,10 +88,12 @@ Official implementation of the OceanPlus tracker. It proposes an attention retri
 
   Follow SiamDW **[[Training and Testing]](https://github.com/researchmm/TracKit/blob/master/lib/tutorial/SiamDW/siamdw.md)** tutorial 
 
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+<!-- </div>
 - Tutorial for **OceanPlus**
 
   Follow OceanPlus **[[Training and Testing]](https://github.com/researchmm/TracKit/tree/master/lib/tutorial/OceanPlus/oceanplus.md)** tutorial
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 ## Structure
 - `experiments:` training and testing settings