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 11811190 of 10420 papers

TitleStatusHype
Toward Efficient Convolutional Neural Networks With Structured Ternary PatternsCode0
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks0
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition0
Nutrispace: A novel color space to enhance deep learning based early detection of cucurbits nutritional deficiency0
CoAPT: Context Attribute words for Prompt Tuning0
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent DataCode0
Differential Privacy Mechanisms in Neural Tangent Kernel Regression0
Addressing Imbalance for Class Incremental Learning in Medical Image Classification0
GroupMamba: Efficient Group-Based Visual State Space ModelCode2
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncodersCode0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified