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 461470 of 10419 papers

TitleStatusHype
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data0
The Linear Attention Resurrection in Vision Transformer0
Building Efficient Lightweight CNN Models0
Fuzzy-aware Loss for Source-free Domain Adaptation in Visual Emotion Recognition0
Pre-trained Model Guided Mixture Knowledge Distillation for Adversarial Federated Learning0
Feasible LearningCode0
SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility0
Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination0
Impact of Batch Normalization on Convolutional Network Representations0
Correlation-Based Band Selection for Hyperspectral Image ClassificationCode0
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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