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d9ae3dd681
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Added Yolo v3
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2018-03-28 02:59:03 +03:00 |
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537d135feb
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Improve training performance - batch-norm using cuDNN.
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2018-03-20 02:16:51 +03:00 |
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65bff2683b
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It takes into account the Difficult for calculating mAP for PascalVOC
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2018-02-16 23:55:37 +03:00 |
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c6afc7ff14
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🔥 🔥 yolo v2 🔥 🔥
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2016-11-17 12:18:24 -08:00 |
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0d6b107ed2
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hey
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2016-11-15 22:53:58 -08:00 |
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352ae7e65b
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ADAM
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2016-10-26 08:35:44 -07:00 |
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91f95c715b
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tree things, tree stuff
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2016-10-24 13:32:49 -07:00 |
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d8adaf8ea6
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tree stuff
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2016-10-21 13:16:43 -07:00 |
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8f1b4e0962
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updates and things
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2016-09-01 16:48:41 -07:00 |
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845ab75796
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some more stuff
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2016-08-05 15:27:07 -07:00 |
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4625a16ffd
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tactics
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2016-06-06 13:22:45 -07:00 |
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c7b10ceadb
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so much need to commit
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2016-05-06 16:25:16 -07:00 |
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16d06ec0db
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stuff
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2016-02-29 13:54:12 -08:00 |
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913d355ec1
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lots of stuff
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2016-01-28 12:30:38 -08:00 |
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1578ec70d7
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idk
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2016-01-18 15:40:14 -08:00 |
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9802287b58
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some fixes
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2015-12-18 15:55:58 -08:00 |
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db0397cfaa
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shortcut layers, msr networks
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2015-12-14 11:57:10 -08:00 |
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c2738835f0
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Faster batch normalization
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2015-12-07 17:18:04 -08:00 |
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8fd18add6e
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CVPR Experiments
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2015-11-03 19:23:42 -08:00 |
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43552b6d20
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nothing changed go away
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2015-07-17 13:18:05 -07:00 |
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75db98db25
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normalization layer
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2015-07-10 16:38:30 -07:00 |
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e7688a05a1
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no idea
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2015-05-06 14:08:16 -07:00 |
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809f924db2
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CUDA so fast
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2015-01-22 16:38:24 -08:00 |
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