This document provides a summary of new datasets and papers related to computer vision tasks including object detection, image matting, person pose estimation, pedestrian detection, and person instance segmentation. A total of 8 papers and their associated datasets are listed with brief descriptions of the core contributions or techniques developed in each.

14. NEW DATASET

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73. Peng MegDet: A Large
Mini-Batch Object Detector
Diba Weakly Supervised
Cascaded Convolutional Networks
Xu Deep Image Matting

74. Papandreou PersonLab: Person
Pose Estimation and Instance
Segmentation with a Bottom-Up, Part-
Based, Geometric Embedding Model
Zhou Bi-box Regression
for Pedestrian Detection and
Occlusion Estimation
Tripathi Pose2Instance:
Harnessing Keypoints for Person
Instance Segmentation
Papandreou Towards
Accurate Multi-person Pose
Estimation in the Wild

90. 𝛼

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1-p

102. 슈퍼브: L99
작업자: L01
https://spb.ai

103. →
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107. 질문은 Slido에 남겨주세요.
sli.do
#deview
TRACK 3