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 32713280 of 10420 papers

TitleStatusHype
Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network0
HyperbolicLR: Epoch insensitive learning rate schedulerCode0
Assessing Sample Quality via the Latent Space of Generative ModelsCode0
Subgraph Clustering and Atom Learning for Improved Image Classification0
Toward Efficient Convolutional Neural Networks With Structured Ternary PatternsCode0
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition0
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks0
CoAPT: Context Attribute words for Prompt Tuning0
Addressing Imbalance for Class Incremental Learning in Medical Image Classification0
Differential Privacy Mechanisms in Neural Tangent Kernel Regression0
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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