From fc1e77390ec651b745de76a6ecf03c86c3310119 Mon Sep 17 00:00:00 2001 From: Houwen Peng <49014385+penghouwen@users.noreply.github.com> Date: Fri, 6 Aug 2021 11:23:37 +0800 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 34e4f31..436870c 100644 --- a/README.md +++ b/README.md @@ -72,11 +72,11 @@ SiamDW is one of the pioneering work using deep backbone networks for Siamese tr ### 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)**
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. ---> OceanPlus
+--> ## How To Start