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 36113620 of 10420 papers

TitleStatusHype
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations0
Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint EvolutionCode0
Differentiable Search for Finding Optimal Quantization Strategy0
Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification0
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach0
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark0
On adversarial training and the 1 Nearest Neighbor classifierCode0
Quantum Circuit C^*-algebra Net0
Evolving Efficient CNN Based Model for Image Classification0
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based TrainingCode0
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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