SOTAVerified

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.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 25512560 of 10420 papers

TitleStatusHype
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification0
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning0
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study0
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars0
A 3-stage Spectral-spatial Method for Hyperspectral Image Classification0
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization0
Applications of the Streaming Networks0
CLIP-QDA: An Explainable Concept Bottleneck Model0
Applications of Sequential Learning for Medical Image Classification0
Drift to Remember0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified