Image Classification
Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.
Papers
Showing 1–10 of 10419 papers
All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | µ2Net+ (ViT-L/16) | Percentage correct | 99.64 | — | Unverified |
| 2 | kNN-CLIP | Percentage correct | 99.6 | — | Unverified |
| 3 | Wide-ResNet-101 (Spinal FC) | Percentage correct | 98.66 | — | Unverified |
| 4 | CN(d=128) | Percentage correct | 98.45 | — | Unverified |
| 5 | CN(d=64) | Percentage correct | 98.36 | — | Unverified |
| 6 | NSRL+CN(d=128) | Percentage correct | 98.36 | — | Unverified |
| 7 | NSRL+CN(d=32) | Percentage correct | 98.34 | — | Unverified |
| 8 | NSRL+CN(d=64) | Percentage correct | 98.24 | — | Unverified |
| 9 | CN(d=32) | Percentage correct | 98.17 | — | Unverified |
| 10 | NAT-M4 | Percentage correct | 97.9 | — | Unverified |