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 | LRA-diffusion (CC) | Accuracy | 75.7 | — | Unverified |
| 2 | Super-SST (ViT-Small, 5% Labels) | Accuracy | 75.7 | — | Unverified |
| 3 | SANM (DivideMix) | Accuracy | 75.63 | — | Unverified |
| 4 | CC | Accuracy | 75.4 | — | Unverified |
| 5 | Jigsaw-ViT+NCT | Accuracy | 75.4 | — | Unverified |
| 6 | MFRW | Accuracy | 75.35 | — | Unverified |
| 7 | Knockoffs-SPR | Accuracy | 75.2 | — | Unverified |
| 8 | PGDF | Accuracy | 75.19 | — | Unverified |
| 9 | AugDesc | Accuracy | 75.11 | — | Unverified |
| 10 | Nested+Co-teaching (ResNet-50) | Accuracy | 75 | — | Unverified |