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wxinlong/solo/, SOLO: Segmenting Objects by Locations This project hosts the code for implementing the SOLO algorithms for instance ...

Authors. Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, Chunhua Shen. Abstract. In this work, we design a simple, direct, and fast framework for instance ...

We demonstrate a simple direct instance segmentation system, outperforming a few state-of-the-art methods in both speed and accuracy. A light-weight version of SOLOv2 executes at 31.3 FPS and yields 37.1% AP. Moreover, our state-of-the-art results in object detection (from our mask byproduct) and panoptic segmentation show the potential to ...

e., segmenting objects in (anchor) bounding boxes. How to develop pure instance segmentation including ...

Mar 23, 2020 · We demonstrate a simple direct instance segmentation system, outperforming a few state-of-the-art methods in both speed and accuracy. A light-weight version of SOLOv2 executes at 31.3 FPS and yields 37.1% AP. Moreover, our state-of-the-art results in object detection (from our mask byproduct) and panoptic segmentation show the potential to ...

23.03.2020 · We demonstrate a simple direct instance segmentation system, outperforming a few state-of-the-art methods in both speed and accuracy. A light-weight version of SOLOv2 executes at 31.3 FPS and yields 37.1% AP. Moreover, our state-of-the-art results in object detection (from our mask byproduct) and panoptic segmentation show the potential to ...

Highlights

Introduction

04.03.2021 · About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators ...

SOLOv2: Dynamic and Fast Instance Segmentation. Xinlong Wang1. Rufeng Zhang2. Tao Kong3. Lei Li3. Chunhua Shen1. 1The University of Adelaide, Australia.

SOLOv2 Method for Instance Segmentation (Part1): Introduction to Instance Segmentation and NMS. 820 ...

State-of-the-art results in object detection (from the authors' mask byproduct) and panoptic segmentation show the potential to serve as a ...

A light-weight version of SOLOv2 executes at 31.3 FPS and yields 37.1% AP on COCO test-dev. Moreover, our state-of-the-art results in object detection (from our mask byproduct) and panoptic segmentation show the potential of SOLOv2 to serve as a new strong baseline for many instance-level recognition tasks.

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020. Sota Point Cloud ⭐ 1,139 · [IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey.

... instance segmentation system, outperforming a few state-of-the-art methods in both speed and accuracy. A light-weight version of SOLOv2 ...

About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators ...

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020. - GitHub - WXinlong/SOLO: SOLO and SOLOv2 for instance segmentation, ...

SOLOv2: Dynamic and Fast Instance Segmentation Xinlong Wang1 Rufeng Zhang2 Tao Kong3 Lei Li3 Chunhua Shen1 1The University of Adelaide, Australia 2Tongji University, China 3ByteDance AI Lab Abstract In this work, we design a simple, direct, and fast framework for instance segmen-

SOLOv2: Dynamic and Fast Instance Segmentation Xinlong Wang1 Rufeng Zhang2 Tao Kong3 Lei Li3 Chunhua Shen1 1The University of Adelaide, Australia 2Tongji University, China 3ByteDance AI Lab

SOLO and SOLOv2 are simple and flexible framework for instance segmentation in digital image processing and computer vision tasks.