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CATEGORY

Computer Vision

CNN·detection·segmentation

DeepLabV3 & SqueezeSegV2: Semantic Segmentation

DeepLabV3의 ASPP와 SqueezeSegV2의 LiDAR range image — 2D/3D semantic segmentation 완전 정리. ECCV 2018·ICRA 2019.

PointPainting: Sequential Fusion of Lidar and Image Semantics

PointPainting — 2D semantic segmentation을 LiDAR point cloud에 투영하는 센서 융합. CVPR 2020.

PointRCNN: 3D Object Proposal Generation from Point Cloud

PointRCNN — Two-stage 3D detection with bin-based encoding. KITTI 벤치마크에서 최고 성능. CVPR 2019.

PointNet++: Deep Hierarchical Feature Learning

PointNet++의 Set Abstraction Layer — 계층적 지역 학습으로 비균일 밀도와 로컬 구조 포착. NIPS 2017.

PointNet: Deep Learning on Point Sets for 3D

PointNet — Symmetric Function으로 Point Cloud의 Permutation Invariance 해결. CVPR 2017.

CNN Backbone Evolution: AlexNet → ResNet

AlexNet, VGG, GoogLeNet, ResNet — ILSVRC 2012~2015 우승 아키텍처들의 설계 철학과 핵심 기여