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加入实验输出（批次 12/14）

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gloamxun
2026-09-23 23:37:16 +08:00
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deep_learning/Q1/outputs/method_comparison/retrieval_summary.csv
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method,direction,n,r_at_1_mean,r_at_1_std,r_at_5_mean,r_at_5_std,mrr_mean,mrr_std
M1,text_to_audio,5,0.0012000000569969416,0.001643167750561775,0.007000000309199094,0.0015811389419980182,0.008951337542384863,0.0015105744211016399
M1,audio_to_text,5,0.0028000001097097994,0.0014832398031884779,0.006000000238418579,0.0021213204717563106,0.009594007954001426,0.0008820339883026645
M1,text_to_vision,5,0.0020000000949949026,0.0020000001240987344,0.007000000402331352,0.0031622779576235397,0.009382870234549045,0.0038973032823256706
M1,vision_to_text,5,0.005000000214204192,0.0038729835451934104,0.007000000402331352,0.004301162959612636,0.010874488297849894,0.0033759486781861315
M1,audio_to_vision,5,0.0010000000474974513,0.0010000000474974513,0.008600000198930502,0.004037325898109636,0.010010761767625808,0.0028143308073864106
M1,vision_to_audio,5,0.002000000048428774,0.0009999999892897908,0.008000000286847353,0.0036742348045336777,0.009903422184288501,0.0023425375089251867
M2,text_to_audio,5,0.0014000000432133675,0.0011401754384133685,0.009200000390410423,0.0022803508359855447,0.010239988192915916,0.0015598764796833854
M2,audio_to_text,5,0.004000000143423677,0.0015811388683705022,0.009200000483542681,0.0030331502218969453,0.011443204618990422,0.0018186032524210385
M2,text_to_vision,5,0.003600000194273889,0.003209361472308511,0.008800000487826764,0.004764451893141854,0.011315117496997118,0.004998444639556679
M2,vision_to_text,5,0.00680000027641654,0.001923538612521058,0.009200000576674939,0.0013038406947566386,0.013902883604168892,0.0007593274807152007
M2,audio_to_vision,5,0.0014000000664964318,0.0005477225835205916,0.006800000183284282,0.003346640098121672,0.009431831166148185,0.0017045066129491178
M2,vision_to_audio,5,0.002000000118277967,0.0018708288289165209,0.00640000025741756,0.0032093615938253205,0.00967191495001316,0.002293345042131113
M3,text_to_audio,15,0.01966666733690848,0.009707631019479971,0.043000001646578315,0.020511321663901527,0.03803744154671828,0.014634778360297347
M3,audio_to_text,15,0.009066667081788183,0.009353889531597692,0.020933334335374334,0.013084706401165278,0.023117945653696854,0.011741696228606028
M3,text_to_vision,15,0.0062666668944681685,0.00413118239876218,0.013800000709791978,0.007466114240091005,0.01513038482517004,0.005506734651604392
M3,vision_to_text,15,0.00506666685299327,0.003634490987677242,0.011266667147477467,0.005573748401698712,0.01275980711604158,0.003981040361844423
M3,audio_to_vision,15,0.006400000179807345,0.0033974781354081164,0.0142666673908631,0.007215723836767552,0.016017937225600083,0.005224730877211012
M3,vision_to_audio,15,0.00426666682275633,0.0024630605290560273,0.00913333367401113,0.005111145810859167,0.012493464909493924,0.0045251231363594895
M4,text_to_audio,15,0.007066666963510215,0.01601546933258453,0.01226666709408164,0.019414526078011158,0.014511969638988376,0.018944261404425476
M4,audio_to_text,15,0.00046666668883214396,0.0005163978040219006,0.002266666820893685,0.00252039318928005,0.005223872559145093,0.0023624842688679767
M4,text_to_vision,15,0.0016000000604738792,0.0011832159931418852,0.00760000046963493,0.005852960507593743,0.0100666221541663,0.005020802122090484
M4,vision_to_text,15,0.0014666667130465308,0.0010600988416483645,0.007333333759258191,0.005300494367735815,0.009886658145114779,0.004472077112598579
M4,audio_to_vision,15,0.002133333380334079,0.0009154754048125681,0.010533333849161863,0.004405624197684311,0.012994256491462389,0.00403471312250859
M4,vision_to_audio,15,0.00206666673378398,0.0007037315398609183,0.010266667200873296,0.003712270612174926,0.012846407542626063,0.003972973272038369
1 method direction n r_at_1_mean r_at_1_std r_at_5_mean r_at_5_std mrr_mean mrr_std
2 M1 text_to_audio 5 0.0012000000569969416 0.001643167750561775 0.007000000309199094 0.0015811389419980182 0.008951337542384863 0.0015105744211016399
3 M1 audio_to_text 5 0.0028000001097097994 0.0014832398031884779 0.006000000238418579 0.0021213204717563106 0.009594007954001426 0.0008820339883026645
4 M1 text_to_vision 5 0.0020000000949949026 0.0020000001240987344 0.007000000402331352 0.0031622779576235397 0.009382870234549045 0.0038973032823256706
5 M1 vision_to_text 5 0.005000000214204192 0.0038729835451934104 0.007000000402331352 0.004301162959612636 0.010874488297849894 0.0033759486781861315
6 M1 audio_to_vision 5 0.0010000000474974513 0.0010000000474974513 0.008600000198930502 0.004037325898109636 0.010010761767625808 0.0028143308073864106
7 M1 vision_to_audio 5 0.002000000048428774 0.0009999999892897908 0.008000000286847353 0.0036742348045336777 0.009903422184288501 0.0023425375089251867
8 M2 text_to_audio 5 0.0014000000432133675 0.0011401754384133685 0.009200000390410423 0.0022803508359855447 0.010239988192915916 0.0015598764796833854
9 M2 audio_to_text 5 0.004000000143423677 0.0015811388683705022 0.009200000483542681 0.0030331502218969453 0.011443204618990422 0.0018186032524210385
10 M2 text_to_vision 5 0.003600000194273889 0.003209361472308511 0.008800000487826764 0.004764451893141854 0.011315117496997118 0.004998444639556679
11 M2 vision_to_text 5 0.00680000027641654 0.001923538612521058 0.009200000576674939 0.0013038406947566386 0.013902883604168892 0.0007593274807152007
12 M2 audio_to_vision 5 0.0014000000664964318 0.0005477225835205916 0.006800000183284282 0.003346640098121672 0.009431831166148185 0.0017045066129491178
13 M2 vision_to_audio 5 0.002000000118277967 0.0018708288289165209 0.00640000025741756 0.0032093615938253205 0.00967191495001316 0.002293345042131113
14 M3 text_to_audio 15 0.01966666733690848 0.009707631019479971 0.043000001646578315 0.020511321663901527 0.03803744154671828 0.014634778360297347
15 M3 audio_to_text 15 0.009066667081788183 0.009353889531597692 0.020933334335374334 0.013084706401165278 0.023117945653696854 0.011741696228606028
16 M3 text_to_vision 15 0.0062666668944681685 0.00413118239876218 0.013800000709791978 0.007466114240091005 0.01513038482517004 0.005506734651604392
17 M3 vision_to_text 15 0.00506666685299327 0.003634490987677242 0.011266667147477467 0.005573748401698712 0.01275980711604158 0.003981040361844423
18 M3 audio_to_vision 15 0.006400000179807345 0.0033974781354081164 0.0142666673908631 0.007215723836767552 0.016017937225600083 0.005224730877211012
19 M3 vision_to_audio 15 0.00426666682275633 0.0024630605290560273 0.00913333367401113 0.005111145810859167 0.012493464909493924 0.0045251231363594895
20 M4 text_to_audio 15 0.007066666963510215 0.01601546933258453 0.01226666709408164 0.019414526078011158 0.014511969638988376 0.018944261404425476
21 M4 audio_to_text 15 0.00046666668883214396 0.0005163978040219006 0.002266666820893685 0.00252039318928005 0.005223872559145093 0.0023624842688679767
22 M4 text_to_vision 15 0.0016000000604738792 0.0011832159931418852 0.00760000046963493 0.005852960507593743 0.0100666221541663 0.005020802122090484
23 M4 vision_to_text 15 0.0014666667130465308 0.0010600988416483645 0.007333333759258191 0.005300494367735815 0.009886658145114779 0.004472077112598579
24 M4 audio_to_vision 15 0.002133333380334079 0.0009154754048125681 0.010533333849161863 0.004405624197684311 0.012994256491462389 0.00403471312250859
25 M4 vision_to_audio 15 0.00206666673378398 0.0007037315398609183 0.010266667200873296 0.003712270612174926 0.012846407542626063 0.003972973272038369