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Datasets/Caltech

Caltech

Benchmarks

Autonomous Vehicles/Reasonable Miss Rate Autonomous Vehicles/Heavy MR^-2 Pedestrian Detection/Reasonable Miss Rate Pedestrian Detection/Heavy MR^-2

Related Benchmarks

Caltech Cars/Image Recognition/Rank-1 Recognition Rate Caltech Lanes Cordova/Autonomous Vehicles/F1 Caltech Lanes Cordova/Lane Detection/F1 Caltech Lanes Washington/Autonomous Vehicles/F1 Caltech Lanes Washington/Lane Detection/F1 Caltech Pedestrian Dataset/Autonomous Vehicles/MR Caltech Pedestrian Dataset/Pedestrian Detection/MR Caltech-101/Anomaly Detection/AUC (outlier ratio = 0.5)Caltech-101/Density Estimation/COV-L2 Caltech-101/Density Estimation/MMD-L2 Caltech-101/Density Estimation/NLL Caltech-101/Density Estimation/Negative ELBO Caltech-101/Fine-Grained Image Classification/Accuracy Caltech-101/Fine-Grained Image Classification/Top-1 Error Rate Caltech-101/Image Classification/Accuracy Caltech-101/Image Classification/Top-1 Error Rate Caltech-101/Image Clustering/Accuracy Caltech-101/Image Matching/IoU Caltech-101/Image Matching/IoU (weak)Caltech-101/Image Matching/LT-ACC Caltech-101/Image Matching/LT-ACC (weak)Caltech-101/Prompt Engineering/Harmonic mean Caltech-101/Semantic correspondence/IoU Caltech-101/Semantic correspondence/IoU (weak)Caltech-101/Semantic correspondence/LT-ACC Caltech-101/Semantic correspondence/LT-ACC (weak)Caltech-101/Semi-Supervised Image Classification/Accuracy Caltech-101/Unsupervised Anomaly Detection/AUC (outlier ratio = 0.5)Caltech-101/Zero-Shot Learning/Accuracy Caltech-101, 202 Labels/Image Classification/Accuracy Caltech-101, 202 Labels/Semi-Supervised Image Classification/Accuracy Caltech-256/Image Classification/Accuracy Caltech-256/Semi-Supervised Image Classification/Accuracy Caltech-256 5-way (1-shot)/Few-Shot Image Classification/Accuracy Caltech-256 5-way (1-shot)/Image Classification/Accuracy Caltech-256 5-way (5-shot)/Few-Shot Image Classification/Accuracy Caltech-256 5-way (5-shot)/Image Classification/Accuracy Caltech-256, 1024 Labels/Image Classification/Accuracy Caltech-256, 1024 Labels/Semi-Supervised Image Classification/Accuracy Caltech-UCSD Birds 200 (partial ratio 0.05)/Partial Label Learning/Accuracy Caltech-UCSD Birds 200 - 2011/Zero-Shot Learning/H Caltech101/Few-Shot Image Classification/Harmonic mean Caltech101/Few-Shot Learning/Harmonic mean Caltech101/Image Classification/Harmonic mean Caltech101/Image Compression/Bit rate Caltech101/Meta-Learning/Harmonic mean Caltech101/Partially View-aligned Multi-view Learning/NMI

Statistics

Papers: 0
Benchmarks: 4

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Tasks

Autonomous Vehicles Pedestrian Detection