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Tzu-Heng's wiki
Machine Learning
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Image Classification (CNN)
Detection
Semantic Segmentation
Generative Adversarial Networks
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Differientiable Sampling and Argmax
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Detection
detection (shall including semantic, panoptic segmentation)
Survey Papers / Repos
Object Detection with Deep Learning: A Review
[1807.05511]
Deep Learning for Generic Object Detection: A Survey
[1809.02165]
Object Detection in 20 Years: A Survey
[1905.05055]
hoya012/deep_learning_object_detection
amusi/awesome-object-detection
Resources
torchvision - object detection
: official pytorch toolkit for vision
open-mmlab/mmdetection
: a marvellous open sourced lib with nearly all SOTA models
facebookresearch/detectron2
: detectron implemented in pytorch by Facebook
TuSimple/simpledet
: detection lib by TuSimple
hardly used now (2019.11)
facebookresearch/Detectron
facebookresearch/maskrcnn-benchmark
Models
Two Stage (Region Proposal + ROI Head)
Faster RCNN
[1506.01497]
R-FCN
[1605.06409]
Feature Pyramid Network
[1612.03144]
Mask RCNN
[1703.06870]
Cascade RCNN
[1712.00726]
Hybrid Task Cascade
[1901.07518]
HRNet
[1908.07919]
One Stage
SSD
[1512.02325]
YOLOv1
[1506.02640]
YOLOv2
[1612.08242]
RetinaNet (Focal Loss)
[1708.02002]
YOLOv3
[1804.02767]
CornerNet
[1808.01244]
CenterNet
[1904.07850]
CenterNet
[1904.08189]
EfficientDet
[1911.09070]
Others
Online Hard Example Mining (OHEM)
Mean Average Precision (mAP)
Empirical Upper-bound in Object Detection and More
[1911.12451]
Datasets
PASCAL VOC
COCO
Open Images Dataset
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Semantic Segmentation
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Survey Papers / Repos
Resources
Models
Two Stage (Region Proposal + ROI Head)
One Stage
Others
Datasets