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Video Anomaly Detection on Avenue (test)

93.7AUC (Micro)Attribute-based VAD (Ours)
58.75667.82876.985.972Oct 27, 2022Dec 5, 2022Jan 14, 2023Feb 22, 2023Apr 3, 2023May 12, 2023Jun 21, 2023

Evaluation results

MethodLinks
Attribute-based VAD (Ours)Year=20242022.1293.7————96.3——
[54] + [27]Type=Object-centric, FPS=312023.0693.2————91.8——
[69] + [27]Type=Object-centric, FPS=312023.0692.9————91.9——
SSPCABYear=20222022.1292.9————91.9——
spatio-temporal predictionDetection Level=Object level, Ground Truth Configuration=Ramachandra et al. [23]2022.1092.675.373.4——90.1——
MS-VADYear=20242022.1292.4————92.9——
Georgescu et al. [8]Detection Level=Object level, Paradigm=reconstruction2022.1092.365.166.9——90.4——
[27]Type=Object-centric, FPS=242023.0692.3————90.4——
BA-AEDYear=20212022.1292.3————90.4——
[84]Type=Object-centric, FPS=352023.0692.2———————
Jigsaw-PuzzleYear=20222022.1292.2————93——
[50]Type=Object-centric, FPS=202023.0691.8————92.3——
[10]Type=Object-centric, FPS=202023.0691.6————92.5——
[54] + [10]Type=Object-centric, FPS=202023.0691.6————92.4——
Georgescu et al. [7]Detection Level=Object level, Paradigm=multiple pretext tasks2022.1091.55758.3——91.9——
[26]Type=Object-centric, FPS=512023.0691.5————92.8——
SSMTLYear=20212022.1291.5————91.9——
AED-MAEType=Frame or cube level, FPS=16552023.0691.3————90.9——
SD-MAEYear=20242022.1291.3————90.9——
Liu et al. [15]Detection Level=Object level, Paradigm=prediction & reconstruction2022.1091.1————91.1——
HF2Year=20212022.1291.1————93.5——
[69] + [49]Type=Object-centric, FPS=102023.0690.9————92.2——
LMPTYear=20232022.1290.9———————
[96]Type=Frame or cube level2023.0690.2———————
VECYear=20202022.1290.2———————
[93]Type=Frame or cube level2023.0690.1———————
FPDMYear=20232022.1290.1———————
[43]Type=Frame or cube level2023.0690———————
BMANYear=≤ 20192022.1290———————
[49]Type=Object-centric, FPS=122023.0689.9————93.5——
DLAN-ACYear=20222022.1289.9———————
USTN-DSCYear=20232022.1289.9———————
Yu et al.Detection Level=Object level, Paradigm=prediction2022.1089.6————89.6——
[95]Type=Object-centric2023.0689.6———————
[78]Type=Frame or cube level2023.0689.6———————
Scene-AwareYear=20202022.1289.6———————
[54] + [49]Type=Object-centric, FPS=102023.0689.5————93.6——
MPNYear=20212022.1289.5———————
[54] + [47]Type=Frame or cube level, FPS=262023.0689.1————84.8——
[37]Type=Frame or cube level2023.0688.9———————
MNAD-Recon.Year=20202022.1288.5———————
Park et al.Detection Level=Frame / Patch level, Paradigm=prediction & reconstruction2022.1088.3————88.3——
Ionescu et al.Detection Level=Object level, Paradigm=reconstruction2022.1087.415.827——90.4——
[36]Type=Object-centric2023.0687.4————90.4——
CAE-SVMYear=≤ 20192022.1287.4————90.4——
[69] + [47]Type=Frame or cube level, FPS=262023.0687.3————84.5——
Ramachandra et al. [24]Detection Level=Frame / Patch level, Paradigm=distance2022.1087.241.278.6—————
[63]Type=Frame or cube level2023.0687.2———————
STANYear=≤ 20192022.1287.2———————
[4]Type=Frame or cube level2023.0687.1———————
[87]Type=Frame or cube level2023.0687———————
CACYear=20202022.1287———————
Nguyen et al.Detection Level=Frame / Patch level, Paradigm=prediction & reconstruction2022.1086.9————86.9——
[57]Type=Frame or cube level2023.0686.9———————
AM-CorrYear=≤ 20192022.1286.9———————
FB-SAEYear=20232022.1286.8————89.1——
[90]Type=Frame or cube level2023.0686.6———————
AMMCNYear=20212022.1286.6———————
[18]Type=Object-centric2023.0686.4———————
[54] + [61]Type=Frame or cube level, FPS=262023.0686.4————86.3——
ClusterAEYear=20202022.1286———————
EVALYear=20232022.1286———————
CT-D2GANYear=20212022.1285.9———————
[60]Type=Frame or cube level, FPS=1952023.0685.3———————
Liu et al.Detection Level=Frame / Patch level, Paradigm=prediction2022.1085.1————85.1——
[47]Type=Frame or cube level, FPS=282023.0685.1————81.7——
[80]Type=Frame or cube level2023.0685.1———————
Frame-Pred.Year=≤ 20192022.1285.1———————
[69] + [61]Type=Frame or cube level, FPS=952023.0684.8————88.6——
[5]Type=Frame or cube level2023.0684.7———————
[76]Type=Frame or cube level2023.0684.6———————
[48]Type=Frame or cube level2023.0684.4———————
MC2STYear=≤ 20192022.1284.4———————
Gong et al.Detection Level=Frame / Patch level, Paradigm=reconstruction2022.1083.3————83.3——
[28]Type=Frame or cube level, FPS=352023.0683.3———————
Mem-AE.Year=≤ 20192022.1283.3———————
[61]Type=Frame or cube level, FPS=1012023.0682.8————86.8——
StackRNNYear=≤ 20192022.1281.7———————
SCLYear=≤ 20192022.1280.9———————
[40]Type=Object-centric2023.0680.2———————
[100]Type=Frame or cube level2023.0678.9———————
Ramachandra et al. [23]Detection Level=Frame / Patch level, Paradigm=distance2022.107235.880.9—————
[62]Type=Frame or cube level2023.0672———————
Conv-AEYear=≤ 20192022.1270.2———————
STF-NFYear=20232022.1260.1————63.5——
Ada-VADEvaluation protocol=Zero-shot, Training dataset=SHT2024.09————83.62———
BG-AgnosticEvaluation protocol=Zero-shot, Training dataset=SHT2024.09————83.6———
CG-VADEvaluation protocol=Few-shot, Shots=5, Training dataset=SHT2024.09————85.1———
Conv2D2023.03————70.2———
Conv3D2023.03————77.1———
ConvLSTM2023.03————77———
ConvVQ+reproduced=true2023.03————84.3———
Flow-based (Ours)Evaluation protocol=Zero-shot, Training dataset=SHT2024.09————87.47———
Fore-based (Ours)Evaluation protocol=Zero-shot, Training dataset=SHT2024.09————83.36———
FramePred2023.03————84.9———
Georgescu et al. [10]2024.07—5758.3———91.557.65
Georgescu et al. [11]2024.07—65.0566.85———92.365.95
Georgescu et al. [12]2022.12—5758.391.5————
Georgescu et al. [13]2022.12—65.0566.8592.3————
Georgescu et al. [13] + Ristea et al. [38]2022.12—65.9964.9192.9————