Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Great Barrier Reef Model Pipeline: 15th place
Search
Maxwell
February 16, 2022
Science
1
180
Great Barrier Reef Model Pipeline: 15th place
https://www.kaggle.com/c/tensorflow-great-barrier-reef
All I want to use was YOLO-X!
Maxwell
February 16, 2022
Tweet
Share
More Decks by Maxwell
See All by Maxwell
Causal Impact -paper summary-
hoxomaxwell
3
720
Lecture materials at the University of Tokyo School of Medicine
hoxomaxwell
1
120
Kaggle Hungry Geese
hoxomaxwell
1
92
HuBMAP 17th place model pipeline
hoxomaxwell
1
80
LT: Shallow Dive into Bayes Factor
hoxomaxwell
6
1.3k
Kaggle APTOS 2019 @ U-Tokyo Med
hoxomaxwell
1
410
Cornell Birdcall 36th place solution
hoxomaxwell
2
220
Kaggle Bengali.AI 6 th place solution
hoxomaxwell
4
8.3k
Google Colaboratory Shortcuts
hoxomaxwell
2
1k
Other Decks in Science
See All in Science
重複排除・高速バックアップ・ランサムウェア対策 三拍子そろったExaGrid × Veeam連携セミナー
climbteam
0
200
Healthcare Innovation through Business Entrepreneurship
clintwinters
0
200
学術講演会中央大学学員会八王子支部
tagtag
0
280
構造設計のための3D生成AI-最新の取り組みと今後の展開-
kojinishiguchi
0
890
理論計算機科学における 数学の応用: 擬似ランダムネス
nobushimi
1
410
山形とさくらんぼに関するレクチャー(YG-900)
07jp27
1
270
大規模言語モデルの開発
chokkan
PRO
85
43k
インフラだけではない MLOps の話 @事例でわかるMLOps 機械学習の成果をスケールさせる処方箋 発売記念
icoxfog417
PRO
2
720
Causal discovery based on non-Gaussianity and nonlinearity
sshimizu2006
0
230
(論文読み)贈り物の交換による地位の競争と社会構造の変化 - 文化人類学への統計物理学的アプローチ -
__ymgc__
1
180
Iniciativas independentes de divulgação científica: o caso do Movimento #CiteMulheresNegras
taisso
0
1k
科学で迫る勝敗の法則(名城大学公開講座.2024年10月) / The principle of victory discovered by science (Open lecture in Meijo Univ. 2024)
konakalab
0
270
Featured
See All Featured
Bootstrapping a Software Product
garrettdimon
PRO
307
110k
Building Applications with DynamoDB
mza
93
6.2k
Fireside Chat
paigeccino
35
3.2k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
11
1.3k
[RailsConf 2023] Rails as a piece of cake
palkan
53
5.3k
Statistics for Hackers
jakevdp
797
220k
GraphQLとの向き合い方2022年版
quramy
44
14k
Writing Fast Ruby
sferik
628
61k
Six Lessons from altMBA
skipperchong
27
3.6k
Side Projects
sachag
452
42k
The Invisible Side of Design
smashingmag
299
50k
The Art of Programming - Codeland 2020
erikaheidi
53
13k
Transcript
Copyright 2022 Maxwell_110 Validation strategy - Sequence-based 4 fold CV
- The number of CoTS is close in each fold - Training data is frames with CoTs - Validation data includes frames w/o CoTs Resize up to 2.75 times using progressive learning 1280 720 Augmentation Increasing probability of applying augmentation as progressive learning progresses. - Default YOLO-X augmentations - random resize: (-5, 5) - mosaic / MixUp / hsv / flip: p = 0.6 -> 0.8 - degrees: Not used - translate: 0.1 - mosaic / MixUp scale: (0.5, 1.5) - RandomGamma - RGBShift - Sharpen - GaussNoise Batch Size: 4 GeForce RTX 3080 (x 2) Solution description in Kaggle discussion https://www.kaggle.com/c/tensorflow-great-barrier-reef/discussion/307691 Learning strategy - Progressive learning - Optimizer: default SGD (decay: 5e-4, momentum: 0.9) - LR: .000625 - Scheduler: yoloxwarmcos - min_lr_ratio: 0.1 - EMA: on - warmup_epochs: 5 - max_epoch: 30 TTA Seq-NMS https://arxiv.org/abs/1602.08465 https://github.com/tmoopenn/seq-nms n_frames: 2 confidence threshold: 0.07 linkage threshold: 0.1 nms th: 0.4 Weighted Box Fusion skip box threshold: 0.05 wbf IoU threshold: 0.45 Final confidence threshold: .08 Public LB : 0.607 Private LB : 0.714