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3,100R@1

FV (GMM+HGLMM)

Updated 3d ago

Evaluation Results

Method
FV (GMM+HGLMM) 2015.04	3,100	5,930	7,370	4
FV (HGLMM) 2015.04	2,850	5,840	7,170	4
FV (GMM) 2015.04	2,840	5,770	7,010	4
FV (LMM) 2015.04	2,770	5,660	6,900	4
m-CNNENS 2015.04	2,480	5,370	6,710	5
FV (Mean Vec) 2015.04	2,260	4,880	6,120	6
FV (GMM+HGLMM) 2015.04	2,130	5,000	6,480	5
FV (GMM) 2015.04	2,060	4,850	6,410	6
FV (HGLMM) 2015.04	2,060	4,940	6,400	6
m-CNNENS 2015.04	2,030	4,760	6,170	5
NIC 2015.04	2,000	-	6,100	6
FV (LMM) 2015.04	1,980	4,760	6,270	6
FV (Mean Vec) 2015.04	1,910	4,530	6,040	7
NIC 2015.04	1,900	-	6,400	5
m-CNNst 2015.04	1,810	4,410	5,790	7
MNLM-vgg 2015.04	1,800	4,090	5,500	8
m-CNNphs 2015.04	1,800	4,350	5,720	8
DCCA 2015.04	1,790	4,030	5,190	9
m-CNNphl 2015.04	1,670	4,300	5,670	7
DVSA (BRNN) 2015.04	1,650	4,060	5,420	7.6
m-CNNwd 2015.04	1,560	4,010	5,570	8
m-CNNENS 2015.04	1,490	3,590	4,900	11
DVSA (DepTree) 2015.04	1,480	3,790	5,000	9.4
m-CNNphs 2015.04	1,460	3,950	5,380	9
m-CNNst 2015.04	1,460	3,850	5,350	9
m-RNN 2015.04	1,450	3,720	4,850	11
m-CNNwd 2015.04	1,450	3,820	5,260	9
m-CNNphl 2015.04	1,440	3,860	5,220	9
MNLM 2015.04	1,350	3,620	4,570	13
DCCA 2015.04	1,270	3,120	4,410	13
Deep Fragment 2015.04	1,260	3,290	4,400	14
MNLM-vgg 2015.04	1,250	3,700	5,150	10
DVSA (BRNN) 2015.04	1,180	3,210	4,470	12.4
m-CNNENS 2015.04	1,180	3,450	4,800	11
RVP (T+I) 2015.04	1,170	3,480	4,860	11.2
RVP (T) 2015.04	1,160	3,380	4,730	11.5
DVSA (DepTree) 2015.04	1,160	3,140	4,380	13.2
m-RNN 2015.04	1,150	3,100	4,240	15
RVP (T) 2015.04	1,140	3,180	4,580	12.5
RVP (T+I) 2015.04	1,140	3,200	4,620	11
m-CNNphl 2015.04	1,070	2,650	3,870	18
m-CNNst 2015.04	1,060	3,250	4,360	14
m-CNNphs 2015.04	1,050	2,940	4,170	15
MNLM 2015.04	1,040	3,100	4,370	14
Deep Fragment 2015.04	970	2,960	4,250	15
m-CNNphs 2015.04	930	2,790	3,960	17
m-CNNwd 2015.04	860	2,680	3,880	18.5
m-CNNst 2015.04	850	2,700	3,910	18
m-CNNwd 2015.04	810	2,470	3,610	20
m-CNNphl 2015.04	810	2,660	3,780	18
SDT-RNN 2015.04	660	2,160	3,170	25
SDT-RNN 2015.04	600	2,270	3,400	23
DeViSE 2015.04	590	2,010	2,960	29
DeViSE 2015.04	480	1,650	2,730	28
2WayNet 2016.08	29.3	49.7	-	-
RNN-FV 2016.08	23.2	53.3	-	-
CCA 2016.08	21.3	50.1	-	-
m-CNN 2016.08	20.3	47.6	-	-
NIC 2016.08	19	-	-	-
RCCA 2016.08	18.7	31.1	-	-
VQA-A 2016.08	17.2	42.8	-	-
DCCA 2016.08	12.7	31.2	-	-
SC-NLM 2016.08	12.5	37	-	-
BRNN 2014.12	11.8	32.1	44.7	12.4
DepTree edges 2014.12	11.6	31.4	43.8	13.2
Mao et al. 2014.12	11.5	31	42.4	15
m-RNN 2016.08	11.5	31	-	-
Kiros et al. 2014.12	10.4	31	43.7	14
Random Ranking 2015.04	10	60	110	631
Random Ranking 2015.04	10	50	100	500
DeFrag 2014.12	9.7	29.6	42.5	15
DeFrag 2014.12	9.5	28.2	40.3	15.6
SDT-RNN 2014.12	8.9	29.8	41.1	16
DeViSE 2014.12	6.7	21.9	32.7	25